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Last updated:  ·  CFA Level II 2027 — Formula Sheet · All Subjects · Mentored by Deepak Goyal, CFA & FRM
Written & reviewed by Deepak Goyal, CFA Charterholder Founder, RBei Classes · 10 years CFA teaching Updated
CFA® Level II 2027 · Formula Sheet · RBei Classes

CFA Level II: Formula Sheet — All Subjects

491 formulas · 10 subjects · comparison tables · exam signals. Subject-wise formula cards with Where lines, Use / trap notes, comparison tables and exam signals. Mentored by Deepak Goyal, CFA & FRM.

491Formulas across the Level II curriculum
10Subjects from Quant to Ethics
89Comparison tables across subjects
59Pages in the complete downloadable sheet
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About this sheet

How to read the formula cards

Subject-wise, in curriculum order. Each subject: formula cards by reading → comparison tables → exam signals & key rules.

How to read a card

  • Formula ID and title (e.g. 0.5) — L1 → L2 badge when the idea is new or upgraded at Level II.
  • Where: — defines every symbol.
  • ▸ Use / trap: — when to apply it and the common exam mistake.
  • L1 → L2: — how Level I knowledge changes at Level II.

Study tips

  • Learn the Where line — if you know every symbol, the formula is just assembly.
  • Trap lines first — most Level II misses are concept traps, not algebra.
  • Comparison tables last — use them for same-day revision of lookalike formulas.
  • Ethics has no formulas — memorize the comparison tables and the exam signals.

Click Download to open the CFA form — the PDF unlocks only after you submit your details. You can also expand every formula card on this page by subject.

Contents

All subjects & formula counts

#SubjectFormulasTables
0Quantitative Methods
Multiple Regression · Time-Series Analysis · Machine Learning · Big Data Projects
364
1Economics
Currency Exchange Rates: Understanding Equilibrium Value · Economic Growth
337
2Financial Statement Analysis
Intercorporate Investments · Employee Compensation: Post-Employment and Share-Based · Multinational Operations · Analysis of Financial Institutions · Evaluating Quality of Financial Reports · Integration of Financial Statement Analysis Techniques
7213
3Corporate Issuers
Analysis of Dividends and Share Repurchases · ESG Considerations in Investment Analysis · Cost of Capital: Advanced Topics · Corporate Restructuring
369
4Equity Valuation
Equity Valuation: Applications and Processes · Discounted Dividend Valuation · Free Cash Flow Valuation · Market-Based Valuation: Price and Enterprise Value Multiples · Residual Income Valuation · Private Company Valuation
9110
5Fixed Income
The Term Structure and Interest Rate Dynamics · The Arbitrage-Free Valuation Framework · Valuation and Analysis of Bonds with Embedded Options · Credit Analysis Models · Credit Default Swaps
6815
6Derivatives
Pricing and Valuation of Forward Commitments · Valuation of Contingent Claims
526
7Alternative Investments
Introduction to Commodities and Commodity Derivatives · Overview of Types of Real Estate Investment · Investments in Real Estate Through Publicly Traded Securities · Hedge Fund Strategies
287
8Portfolio Management
Economics and Investment Markets · Analysis of Active Portfolio Management · Exchange-Traded Funds: Mechanics and Applications · Using Multifactor Models · Measuring and Managing Market Risk · Backtesting and Simulation
7512
9Ethics & Professional Standards
Code of Ethics · Standards I–VII · case applications
—6

Source: RBei Classes — CFA Level II 2027 Formula Sheet (All Subjects) · rbeiset.com

Subject 0 · 4 tables

0 Quantitative Methods (36 formulas)

Readings: Multiple Regression · Time-Series Analysis · Machine Learning · Big Data Projects

0.1 Multiple regression model
Yi = b0 + b1X1i + b2X2i + … + bkXki + εi
ε̂i = Yi − Ŷi
Wheren = observations · k = independent variables · b0 = intercept · bj = partial slope
▸ Use / trapEach slope = change in Y for a 1-unit change in Xj, holding other X's constant. Reject H0: bj = 0 if p-value < α.
L1 → L2L1 simple regression → k regressors; slopes become partial slopes.
0.2 ANOVA table
df: Regression = k · Error = n − k − 1 · Total = n − 1
RSS SSE
MSR = ; MSE = ; SST = RSS + SSE
k n−k−1
WhereRSS = regression (explained) SS · SSE = sum of squared errors · SST = total SS
▸ Use / trapTrap: here RSS = Regression sum of squares, NOT residual.
0.3 Coefficient of determination
SST − SSE RSS
R2 = =
SST SST
Whereexplained ÷ total variation
▸ Use / trapAlmost always rises as variables are added, even useless ones — use adjusted R² to compare.
0.4 Adjusted R²
n−1
Ra2 = 1 − [( ) × (1 − R2)]
n−k−1
Wheren = observations · k = independent variables
▸ Use / trapR²ₐ ≤ R². Adding a variable with |t| < 1 lowers R²ₐ. Does not test significance.
L1 → L2New at L2: penalises over-fitting.
0.5 AIC and BIC
SSE
AIC = n × ln( ) + 2(k + 1)
n
SSE
BIC = n × ln( ) + ln(n) × (k + 1)
n
Wherek = independent variables · lower value = better model
▸ Use / trapAIC → best for forecasting; BIC → best goodness of fit. BIC penalises more since ln(n) > 2 for n ≥ 8.
L1 → L2New at L2.
0.6 F-test for nested models (joint test)
(SSER − SSEU) / q
F= df = q and n − k − 1
SSEU / (n − k − 1)
WhereR = restricted · U = unrestricted · q = excluded variables · k = variables in full model
▸ Use / trapReject H0 (excluded slopes all = 0) if F > Fc. Always one-tailed.
L1 → L2New at L2: joint significance of a subset. rbeiset.com · Mentored by Deepak Goyal — CFA, FRM · Noida Time-Series Analysis R3 · Machine Learning R4 · Big Data Projects 16 formulas
0.7 F-test for overall model fit
(SSTU − SSEU) / k RSSU / k MSR
F= = =
SSEU / (n − k − 1) SSEU / (n − k − 1) MSE
WhereH0: b1 = b2 = … = bk = 0
▸ Use / trapSpecial case of nested F with q = k. One-tailed despite '=' in H0.
0.8 Predicted value
Ŷi = b̂ 0 + b̂ 1X̂ 1i + b̂ 2X̂ 2i + … + b̂ kX̂ ki
WhereX̂ j = forecast of each independent variable
▸ Use / trapUse ALL estimated coefficients, even insignificant ones (or re- estimate without them).
0.9 Breusch-Pagan test (conditional
heteroskedasticity)
BP χ2 = n × R2resid df = k
WhereR²resid = R² from regressing squared residuals on the X's
▸ Use / trapOne-tailed. Effect: SEs unreliable (usually too small → Type I), F unreliable; coefficients still unbiased. Fix: White robust SEs.
L1 → L2New at L2.
0.10 Breusch-Godfrey test (serial correlation)
ε̂t = a0 + a1X1t + … + akXkt + ρ1ε̂t−1 + … + ρpε̂t−p
F-distributed, df = p and n − p − k − 1
Wherep = number of lags tested · H0: ρ = 0
▸ Use / trapPositive serial correlation → SEs too small → Type I. Lagged dependent variable → coefficients inconsistent. Fix: Newey-West SEs.
L1 → L2New at L2 (DW only tests one lag; DW ≈ 2 → none).
0.11 Variance inflation factor (multicollinearity)
1
VIFj =
1 − R j2
WhereR²j = R² of Xj regressed on other X's
▸ Use / trapVIF > 5 investigate; > 10 severe. Classic sign: high R², significant F, insignificant t's → SEs too high → Type II.
L1 → L2New at L2.
0.12 Leverage (high-leverage X points)
3(k + 1)
Σ leverage = k + 1 ; flag if leverage >
n
Whereleverage between 0 and 1
▸ Use / trapLeverage = extreme X. Outlier = extreme Y. Influential = changes coefficients when removed.
L1 → L2New at L2.
0.13 Studentized residual (outliers)
ei*
ei* = Yi − Ŷi* ; ti* =
se *
Where* = model re-estimated without observation i
▸ Use / trapOutlier if |t*| > critical t with n − k − 2 df. Page 3 of 59
0.14 Dummy variables
Intercept: Y = b0 + d0D + b1X + ε
Slope: Y = b0 + b1X + d1(D × X) + ε
Both: Y = b0 + d0D + b1X + d1(D × X) + ε
WhereD = 1 or 0 · n classes → n − 1 dummies
▸ Use / trapDummy coefficient = difference vs the omitted (reference) class. Using n dummies = perfect multicollinearity. R2 · Time-Series Analysis
0.15 Logistic regression (logit)
p
ln( ) = b0 + b1X1 + b2X2 + … + ε
1−p
odds 1
odds = eŷ ; P = =
1 + odds 1 + e−ŷ
Wherep = probability of event · estimated by maximum likelihood
▸ Use / trapSlopes change LOG-ODDS, not probability. Use for binary dependent variable (default / no default).
L1 → L2New at L2.
0.16 Likelihood ratio test (logit)
LR = −2 (log likelihood restricted − log likelihood unrestricted)
χ2 with q df
Whereq = excluded variables · LL always negative; closer to 0 = better
▸ Use / trapLogit analogue of the nested F-test. Pseudo-R² only for comparing models with the same Y. 13 formulas
0.17 Linear trend model
yt = b0 + b1(t) + εt
Wheret = 1, 2, …, T
▸ Use / trapUse when series grows by a constant AMOUNT.
L1 → L2Whole time-series reading is new at L2.
0.18 Log-linear trend model
yt = eb0 + b1(t) ⟹ ln(yt) = b0 + b1(t) + εt
Whereb1 = constant growth rate
▸ Use / trapUse when series grows at a constant RATE. Trap: forecast is ln(y) — take ex.
0.19 Autoregressive model AR(p)
xt = b0 + b1xt−1 + b2xt−2 + … + bpxt−p + εt
Wherep = number of lags
▸ Use / trapValid only if covariance stationary: constant finite mean, variance and covariance.
0.20 Chain rule of forecasting
x̂ t+1 = b̂ 0 + b̂ 1xt
x̂ t+2 = b̂ 0 + b̂ 1x̂ t+1
Wherex̂ = forecast
▸ Use / trapMulti-period forecasts are more uncertain than one-period forecasts.
0.21 t-test on residual autocorrelations
ρεt,εt−k
t= df = T − 2
1 / √T
WhereT = observations · ρ = k-th lag residual autocorrelation
▸ Use / trapAny significant lag → AR model misspecified; add lags. DW is NOT valid for AR models.
0.22 Mean-reverting level of AR(1)
b0
xt =
1 − b1
Wherefinite only if |b1| < 1
▸ Use / trapIf xt above level → forecast falls; below → rises. rbeiset.com · Mentored by Deepak Goyal — CFA, FRM · Noida
0.23 Root mean squared error
Σi=1n (predictedi − actuali)2
RMSE = √
n
Wherecomputed on out-of-sample data
▸ Use / trapLowest out-of-sample RMSE = best forecasting model.
0.24 Random walk
xt = xt−1 + εt
with drift: xt = b0 + b1xt−1 + εt, b1 = 1
Whereb0 = drift
▸ Use / trapb1 = 1 (unit root) → b0/0 undefined → not covariance stationary.
0.25 Dickey-Fuller unit-root test
xt − xt−1 = b0 + (b1 − 1)xt−1 + ε
g = b1 − 1 ; H0: g = 0
Whereuses DF critical values, not standard t
▸ Use / trapFail to reject H0 → unit root → first-difference the data.
0.26 First differencing
yt = xt − xt−1 ; yt = b0 + b1yt−1 + εt
Wherey = change in x
▸ Use / trapConverts a random walk into a covariance-stationary series (mean-reverting level 0).
0.27 AR(1) with seasonal lag
ln xt = b0 + b1(ln xt−1) + b2(ln xt−4) + εt
Whereseasonal lag = 4 (quarterly), 12 (monthly)
▸ Use / trapSignal: significant residual autocorrelation at lag 4 / 12. Still an AR(1) model, not AR(2).
0.28 ARCH(1)
ε̂t = a0 + a1ε̂t−12 + μt
2
σ̂t+12 = â0 + â1ε̂t2
Wherea1 significant → ARCH present
▸ Use / trapARCH → SEs invalid; use generalized least squares. Model can forecast next-period variance. Page 4 of 59
0.29 Cointegration (two time series)
yt = b0 + b1xt + εt → DF–EG test on residuals
WhereEngle-Granger critical values
▸ Use / trapReject unit root in residuals → cointegrated → regression valid even if both series nonstationary. R3 · Machine Learning
0.30 Penalized regression (LASSO)
minimize SSE + λ Σ |b̂ j|
Whereλ = hyperparameter (penalty)
▸ Use / trapPenalty shrinks/eliminates weak features → parsimonious model; reduces overfitting. R4 · Big Data Projects
0.31 Normalization
Xi − Xmin
Xi (normalized) =
Xmax − Xmin
Wherescales to 0 – 1
▸ Use / trapSensitive to outliers. Use when distribution is unknown.
0.32 Standardization
Xi − μ
Xi (standardized) =
σ
Wheremean 0, SD 1
▸ Use / trapLess sensitive to outliers; assumes normal distribution.
0.33 Precision and recall
TP TP
P= ; R = TPR =
TP + FP TP + FN
WhereFP = Type I · FN = Type II
▸ Use / trapHigh precision when Type I is costly; high recall when Type II is costly (e.g., missing a defaulter). COMPARISON TABLES & FRAMEWORKS Regression assumption violations Problem Effect Conditional heteroskedasticity SEs unreliable (too low), F unreliable Serial correlation SEs too low → Type I; inconsistent b if lagge Multicollinearity SEs too high → Type II Model fit metrics — which to use Goal Metric Better if Forecasting AIC Lower Goodness of fit BIC Lower Compare models (different k) Adjusted R² Higher Excluded variables jointly zero? Nested F F > critical Logit nested models LR (χ²) LR > critical Can I regress one time series on another? Y series X series Use regression? Stationary Stationary Yes Stationary Nonstationary No Nonstationary Stationary No Nonstationary Nonstationary Only if cointegrated rbeiset.com · Mentored by Deepak Goyal — CFA, FRM · Noida 1 formulas 6 formulas
0.34 Accuracy and F1 score
TP + TN
accuracy =
TP + TN + FP + FN
2×P×R
F1 =
P+R
WhereF1 = harmonic mean of P and R
▸ Use / trapF1 better than accuracy when classes are unequal (class imbalance).
0.35 False positive rate (ROC)
FP
FPR =
FP + TN
WhereROC plots TPR (y) vs FPR (x)
▸ Use / trapAUC = 0.5 → random guess; closer to 1 → better model.
0.36 Document frequency (text feature selection)
number of documents containing the token
DF =
total number of documents
Whereproportion of documents in which a token appears
▸ Use / trapVery high/low-frequency tokens often removed. Mutual information: 0 = token in all classes; → 1 = one class. Detect Correct Residual plot, Breusch-Pagan White robust SEs ed Y DW (1 lag), Breusch-Godfrey Newey-West SEs High R², sig. F, insig. t; VIF Drop variable / new proxy Page 5 of 59 ML algorithms — best suited for Algorithm Type Use LASSO / penalized Supervised Parsimonious models, many regression features SVM Supervised Binary classification (default / no default) KNN Supervised Classification by nearness; choose k CART Supervised Categorical/continuous target, nonlinear Ensemble / random Supervised Reduce overfitting, higher accuracy forest PCA Unsupervised Dimension reduction k-means / hierarchical Unsupervised Clustering Neural nets / deep Either Complex nonlinear, image, text learning Reinforcement learning — Learn by trial and reward ★ Exam signals & key rules — Quantitative Methods 1. p-value < α → reject H0 (coefficient significant). 2. F-tests are always one-tailed. 3. Time-series model choice: plot → trend? → test residuals (DW) → AR → check stationarity (DF) → first-difference → add seasonal lag → test ARCH. 4. Linear trend = constant amount; log-linear = constant rate. rbeiset.com · Mentored by Deepak Goyal — CFA, FRM · Noida 5. Unit root (b1 = 1) → not covariance stationary → first-difference. 6. Overfitting: low bias error, high variance error; fix with complexity reduction or cross-validation. 7. Data split: ~60% training, ~20% validation, ~20% test. Page 6 of 59 01 Economics C FA L E V E L I I 2 0 2 7 · S U B J E C T 0 1 33 formulas 7 tables 12 exam rules R5 · Currency Exchange Rates: Un R5 · Currency Exchange Rates: Understanding Equilibriu

★ Exam signals & key rules — Quantitative Methods

  1. p-value < α → reject H0 (coefficient significant).
  2. F-tests are always one-tailed.
  3. Time-series model choice: plot → trend? → test residuals (DW) → AR → check stationarity (DF) → first-difference → add seasonal lag → test ARCH.
  4. Linear trend = constant amount; log-linear = constant rate. rbeiset.com · Mentored by Deepak Goyal — CFA, FRM · Noida 00 · Quantitative Methods
  5. Unit root (b1 = 1) → not covariance stationary → first-difference.
  6. Overfitting: low bias error, high variance error; fix with complexity reduction or cross-validation.
  7. Data split: ~60% training, ~20% validation, ~20% test. Page 6 of 59
Subject 1 · 7 tables

1 Economics (33 formulas)

Readings: Currency Exchange Rates: Understanding Equilibrium Value · Economic Growth

1.1 Bid–ask (offer) spread
bid–ask spread (for base currency) = ask quote − bid quote
Wherepip = 1/10,000 for a 4-decimal quote
▸ Use / trapDealer spread rises with interbank spread, larger trade size; falls for preferred clients. Interbank spread rises with low-volume pairs, off-peak hours, volatility. Forward spreads widen with maturity.
1.2 Dealer quote rules (A/B)
Buy base currency at ask · sell base currency at bid
Up the quote (B→A): use bid and multiply
Down the quote (A→B): use ask and divide
WhereA = price currency (top) · B = base currency (bottom)
▸ Use / trapInvestor always loses the spread. Example: AUD/GBP 1.5060– 1.5067: GBP 1m × 1.5060 = AUD 1,506,000; AUD 1m ÷ 1.5067 = GBP 663,702.
1.3 Cross rate (no spread)
MXN USD MXN
= ×
AUD AUD USD
WhereUSD = common third currency
▸ Use / trapArrange quotes so the common currency cancels. 0.60 × 10.70 = 6.42 MXN/AUD.
1.4 Cross rates with bid–ask spreads
A A B
( )bid = ( )bid × ( )bid
C B C
A A B
( )offer = ( )offer × ( )offer
C B C
WhereA, B, C = three currencies
▸ Use / trapBid × bid gives the cross bid; offer × offer gives the cross offer. Never mix bid with offer.
L1 → L2Level II adds bid–offer cross rates and triangular arbitrage profit calculation.
1.5 Inverting a quote with bid–ask
1
B
( )bid = C
C ( )offer
B
1
B
( )offer = C
C ( )bid
B
WhereGiven C/B quotes, derive B/C
▸ Use / trapInverted bid = 1 ÷ original offer; inverted offer = 1 ÷ original bid. Needed because A/B × C/B ≠ A/C.
1.6 Triangular arbitrage
Start with home currency → 1st foreign → 2nd foreign → back
to home
Profit = ending amount − starting amount
WhereUse DEALER quotes (not computed cross rates) on each leg; up-the- bid-multiply, down-the-ask-divide
▸ Use / trapCheck if dealer quote lies outside implied cross bid–offer. Test clockwise and counter-clockwise; profit possible in at most one direction. rbeiset.com · Mentored by Deepak Goyal — CFA, FRM · Noida Understanding Equilibrium Value R6 · Economic Growth um Value 21 formulas
1.7 Forward premium / discount
forward premium (discount) = F − S0
WhereF = forward rate (A/B) · S0 = spot rate (A/B)
▸ Use / trapPositive ⇒ base currency B trades at a forward premium; negative ⇒ discount. Premium/discount always refers to the base currency.
1.8 All-in forward from forward points
points (bid)
all-in forward bid = spot bid +
10,000
points (offer)
all-in forward offer = spot offer +
10,000
Wherepoints quoted in pips for a 4-decimal quote; negative points are subtracted
▸ Use / trapE.g., AUD/CAD spot 1.0511/1.0519, 30-day +3.9/+4.1 ⇒ 1.05149/1.05231. Positive points = base at premium. Converting down the quote uses the all-in ask.
1.9 Mark-to-market value of a currency forward
(FPt − FP)(contract size)
Vt = days
[1 + R( )]
360
WhereVt = value at time t to party buying base currency, in price currency · FPt = forward price (to sell base) at t for new contract maturing at T · FP = contract forward price · days = T − t · R = price-currency interest rate
▸ Use / trapUnwind with offsetting forward of remaining maturity: long base ⇒ sell at all-in BID. Discount at PRICE-currency rate for remaining days. Short base: sign flips.
L1 → L2New at Level II: valuing an existing FX forward before expiry.
1.10 Covered interest rate parity (forward rate)
days
[1 + RA( )]
360
F= S0
days
[1 + RB( )]
360
WhereF, S0 quoted A/B · days = days in forward contract · RA, RB = interest rates of currency A, B (MRR, days/360)
▸ Use / trapBound by arbitrage. Numerator–denominator rule: price- currency rate on top. Higher-rate base currency trades at a forward discount.
1.11 Forward premium via covered parity
days
1 + RA( )
360
F − S0 = [ − 1] S0
days
1 + R B( )
360
days
360
F − S0 = S0[ ](RA − RB)
days
1 + R B( )
360
Whereas for covered interest parity
▸ Use / trapSign of premium follows RA − RB: if RA > RB, base currency B at forward premium. Page 7 of 59
1.12 Covered interest arbitrage
If market F > parity F: borrow A, buy B spot, invest in B, sell B
forward
Profit = forward proceeds − loan repayment
WhereParity F = S0(1 + RA)/(1 + RB) for 1 year
▸ Use / trapExample: $1.30(1.08/1.06) = $1.3245 < market $1.35 ⇒ sell EUR forward; profit $20.76 per $1,000 borrowed. Reverse steps if market F is too low.
1.13 Uncovered interest rate parity
E(%ΔS)(A/B) = RA − RB
WhereE(%ΔS) = expected % change in spot A/B · RA, RB = nominal rates
▸ Use / trapBase currency B expected to appreciate by RA − RB (high-rate currency expected to depreciate). Not arbitrage-bound; assumes risk neutrality; tends to hold long run only. E(S1) ≈ S0(1 + RA − RB).
1.14 Forward rate parity
F = E(ST)
WhereF = forward rate · E(ST) = expected future spot rate
▸ Use / trapForward rate is an unbiased predictor of future spot. Holds if uncovered IRP holds (since covered IRP always holds).
1.15 (Domestic) Fisher relation
Rnominal = Rreal + E(inflation)
WhereRreal = real rate · E(inflation) = expected inflation
▸ Use / trapApproximate. Real rate = nominal − expected inflation: 9.0% − 3.5% = 5.5%.
1.16 Real interest rate parity
real rateA = real rateB
Wherereal rate ≈ nominal rate − expected inflation
▸ Use / trapFree capital flows equalize real rates across countries. Ignores sovereign risk premia (EM investors demand higher real returns). R6 · Economic Growth
1.17 International Fisher relation
Rnominal A − Rnominal B = E(inflationA) − E(inflationB)
WhereFisher relation + real interest rate parity
▸ Use / trapNominal rate differential = expected inflation differential. Example: RZAR = 13% + (10.09% − 9%) = 14.09%.
1.18 Absolute PPP
S(A/B) = CPI(A) / CPI(B)
WhereCPI = price level of representative basket
▸ Use / trapLaw of one price on average. Fails in practice: different consumption weights, tariffs, transport costs.
1.19 Relative PPP
%ΔS(A/B) = Inflation(A) − Inflation(B)
Where%ΔS(A/B) = change in spot price (A/B)
▸ Use / trapHigher-inflation currency depreciates. Not arbitrage-bound; holds approximately in the long run.
1.20 Ex-ante PPP
E(%ΔS)(A/B) = E(inflationA) − E(inflationB)
Wheresame as relative PPP but uses EXPECTED inflation
▸ Use / trapUSD/AUD 1.00, E(π USD) 2%, E(π AUD) 5% ⇒ −3% ⇒ ≈ 0.97 USD/AUD. Ex-ante PPP + international Fisher ⇒ uncovered IRP.
1.21 FX carry trade profit
return = interest earned on investment − funding cost − currency
depreciation
profit on carry trade = interest differential − change in the spot
rate of the investment currency
Wherefunding currency = low-yield currency borrowed · investment currency = high-yield currency
▸ Use / trapBet against uncovered IRP. Example: 3% − 1% − 0% = 2%. Returns have negative skewness and excess kurtosis (crash risk). 12 formulas
1.22 Grinold-Kroner expected equity return
E(R) = dividend yield (DY) + expected capital gains yield
(CGY)
expected capital gains yield = EPS growth (ΔEPS) + expected
repricing (ΔP/E)
WhereDY = dividend yield · ΔP/E = change in P/E
▸ Use / trapRepricing cannot continue indefinitely; DY is stable. Long-run equity return driven by real EPS growth, capped by potential GDP growth.
1.23 EPS growth decomposition
EPS growth = real EPS growth (ΔEPSR) + inflation (π) − change
in shares outstanding (ΔS)
WhereΔS = dilution effect
▸ Use / trapShare issuance dilutes; buybacks reduce ΔS.
1.24 Full Grinold-Kroner model
E(R) = DY + ΔEPSR + π − ΔS + ΔP/E
ΔS = nbb + rd
Wherenbb = net stock buybacks (better: net issuance = new issuance − buybacks) · rd = relative dynamism (issuance by small/medium private firms)
▸ Use / trapLong-run aggregate stock market appreciation is limited to the sustainable (potential) GDP growth rate. rbeiset.com · Mentored by Deepak Goyal — CFA, FRM · Noida
1.25 Cobb-Douglas production function
Y = TKαL(1−α)
WhereY = output · K = capital · L = labor · α, (1 − α) = capital's and labor's share of total factor cost (α < 1) · T = total factor productivity (TFP)
▸ Use / trapConstant returns to scale: raising both inputs by x% raises output by x%. Diminishing marginal productivity of each input alone.
1.26 Labor productivity (output per worker)
output per worker = Y/L = T(K/L)α
WhereK/L = capital per worker
▸ Use / trapGrows through capital deepening (higher K/L, movement along curve) or TFP (shifts curve up). Lower α ⇒ smaller benefit from capital deepening.
1.27 Steady-state capital condition
αY/K = r
α = rK/Y
WhereMPK = αY/K = marginal product of capital · r = rental price of capital
▸ Use / trapCapital deepening continues while MPK > r; stops when MPK = r, after which labor productivity stagnates without technology. Page 8 of 59
1.28 Labor productivity growth
labor productivity growth rate = growth due to technological
change + growth due to capital deepening
Where—
▸ Use / trapDeveloped countries (high K/L) rely on technology; developing countries can still gain from capital deepening.
1.29 Growth accounting relation
ΔY/Y = ΔT/T + α×(ΔK/K) + (1−α)×(ΔL/L)
growth rate in potential GDP = long-term growth rate of
technology + α(long-term growth rate of capital) + (1 − α)(long-
term growth rate of labor)
Whereα = elasticity of output w.r.t. capital = capital's income share · (1 − α) = labor's income share
▸ Use / trapTFP growth is unobservable; estimate as residual. Example: 2% + 0.4(3%) + 0.6(1.5%) = 4.1%. Kinimaz: 3.7% = ΔTFP + 0.4(3%) + 0.6(2%) ⇒ 1.3%.
1.30 Labor productivity growth accounting
growth rate in potential GDP = long-term growth rate of labor
force + long-term growth rate in labor productivity
Wherelabor productivity growth reflects capital deepening + technology
▸ Use / trapAlternative to the Cobb-Douglas growth accounting approach for forecasting potential GDP. COMPARISON TABLES & FRAMEWORKS International parity conditions Condition Relation (A/B) Covered interest parity F = S0[1+RA(d/360)]/[1+RB(d/360)] Uncovered interest parity E(%ΔS) = RA − RB Forward rate parity F = E(ST) Fisher relation Rnominal = Rreal + E(inflation) Real interest rate parity real rateA = real rateB International Fisher RA − RB = E(πA) − E(πB) Absolute PPP S(A/B) = CPI(A)/CPI(B) Relative PPP %ΔS = πA − πB Ex-ante PPP E(%ΔS) = E(πA) − E(πB) Monetary and fiscal policy vs value of domestic currency (Mundell- Fleming, flexible rates) Monetary / Fiscal High capital mobility Low capital mobility Expansionary / Expansionary Uncertain Depreciation Expansionary / Restrictive Depreciation Uncertain Restrictive / Expansionary Appreciation Uncertain Restrictive / Restrictive Uncertain Appreciation Exchange rate determination models Model Policy covered Horizon Mundell-Fleming Monetary and fiscal Short term Pure monetary Monetary only Any time Dornbusch overshooting Monetary only Short → long Portfolio balance Fiscal only Long term Balance-of-payments influences on exchange rates Mechanism Effect Flow supply/demand (current account) CA deficit ⇒ more Portfolio balance/composition Investor rebalancin Debt sustainability Excess debt/GDP ⇒ Capital account Inflows (higher rea rbeiset.com · Mentored by Deepak Goyal — CFA, FRM · Noida
1.31 Labor force participation
labor force
labor force participation =
working age population
Wherelabor force = working-age (16–64) people available to work, employed + unemployed
▸ Use / trapQuantity of labor = labor force × average hours worked. Rises as more women enter workforce.
1.32 Neoclassical steady-state growth per capita
θ
g* =
(1 − α)
Whereg* = sustainable growth of output per capita (per worker) · θ = growth rate of technology (TFP) · (1 − α) = labor's share of GDP
▸ Use / trapCapital does not appear: capital deepening affects level, not long-run growth rate. Trap: divide by LABOR share, not α.
1.33 Neoclassical steady-state growth of output
θ
G* = + ΔL
(1 − α)
WhereG* = sustainable growth rate of output · ΔL = growth of labor
▸ Use / trapCountry X: 2.0%/0.60 + 1.2% = 4.53%. Also: 1%/(1 − 0.6) + 2% = 4.5%. Arbitrage-bound? Key point Yes No-arbitrage forward rate No Assumes risk neutrality; holds long run No Holds if uncovered IRP holds — Domestic relation No Ignores sovereign risk premia No Fisher + real rate parity No Law of one price on average No Holds approximately long run No Uses expected inflation Prediction Inflation ignored; via interest rates and capital flows PPP always holds; x% money growth ⇒ x% depreciation Sticky prices; overshoots PPP, then reverts Sustained deficits ⇒ eventual depreciation domestic currency supplied ⇒ depreciation ng out of deficit-country assets ⇒ depreciation ⇒ rapid depreciation al returns) ⇒ appreciation; dominant in short run Page 9 of 59 Growth theories compared Feature Classical Neoclassical Basis Malthusian; subsistence income Cobb-Douglas; exog Per capita growth Temporary; returns to subsistence g* = θ/(1 − α) in stea Returns to capital — Diminishing Higher savings — Temporary growth; h Population growth Rises with income Independent of grow Open markets — Temporary benefit; c Empirical support Not supported Supports conditional Convergence hypotheses Hypothesis Claim Absolute Poorer countries converge to the LEVEL of per capita output o Conditional Living-standard LEVELS converge only with same savings, pop Club Countries with similar institutions converge; non-members may Capital deepening vs technological progress Technological progress Aspect Capital deepening (TFP) Effect on curve Movement along productivity Shifts productivity curve up curve Returns Diminishing marginal Raises output at all K/L productivity levels Long-run Affects level only Raises sustainable growth growth rate Most useful for Developing (low K/L) Developed (high K/L) ★ Exam signals & key rules — Economics 1. All parity notation uses A/B: A = price currency (numerator), B = base currency (denominator); price-currency rate goes on top. 2. Up the quote: multiply by bid. Down the quote: divide by ask. 3. Forward points ÷ 10,000 for 4-decimal quotes; positive points ⇒ base currency at forward premium. 4. MTM of FX forward: offset at the opposite side's all-in rate for remaining maturity; discount at the price-currency rate. 5. High nominal rate currency: forward discount (covered IRP) and expected 1 depreciation (uncovered IRP) — but appreciation under Mundell-Fleming with high capital mobility (real rates). 1 6. Only covered interest parity is enforced by arbitrage; uncovered IRP, PPP 1 and forward rate parity hold (at best) in the long run. rbeiset.com · Mentored by Deepak Goyal — CFA, FRM · Noida Endogenous genous technology Technology from investment in physical/human capital ady state No steady state; can rise permanently Constant (R&D spillovers) higher K/L level Permanently higher growth wth — convergence Permanently higher growth al convergence Justifies R&D subsidies of developed countries pulation growth, production function ay never converge 7. Ex-ante PPP + international Fisher ⇒ uncovered IRP; uncovered IRP + covered IRP ⇒ forward rate parity. 8. Carry trade profits when high-yield currency depreciates less than the rate differential; crash risk = negative skew, fat tails. 9. Currency crisis signals: deteriorating terms of trade, falling FX reserves, currency above mean, rising inflation, fixed peg, liberalized capital, money supply/bank reserves up, banking crises. 10. Neoclassical: steady-state growth depends on θ, labor share (1 − α) and ΔL — not on savings or capital. 11. TFP growth is estimated as the residual of the growth accounting equation. 12. Long-run stock market appreciation ≈ potential GDP growth; P/E and profit share cannot grow forever. Page 10 of 59 02 Financial Statement Analy 72 formulas C FA L E V E L I I 2 0 2 7 · S U B J E C T 0 2 13 tables 12 exam rules R7 · Intercorporate Investments R9 · Multinational Operations R10 · Analysis of Financial Institutions R11 · R12 · Integration of Financial Statement Analysis Techniques R7 · Intercorporate Investments

★ Exam signals & key rules — Economics

  1. All parity notation uses A/B: A = price currency (numerator), B = base currency (denominator); price-currency rate goes on top.
  2. Up the quote: multiply by bid. Down the quote: divide by ask.
  3. Forward points ÷ 10,000 for 4-decimal quotes; positive points ⇒ base currency at forward premium.
  4. MTM of FX forward: offset at the opposite side's all-in rate for remaining maturity; discount at the price-currency rate.
  5. High nominal rate currency: forward discount (covered IRP) and expected 1 depreciation (uncovered IRP) — but appreciation under Mundell-Fleming with high capital mobility (real rates). 1
  6. Only covered interest parity is enforced by arbitrage; uncovered IRP, PPP 1 and forward rate parity hold (at best) in the long run. rbeiset.com · Mentored by Deepak Goyal — CFA, FRM · Noida 01 · Economics Endogenous genous technology Technology from investment in physical/human capital ady state No steady state; can rise permanently Constant (R&D spillovers) higher K/L level Permanently higher growth wth — convergence Permanently higher growth al convergence Justifies R&D subsidies of developed countries pulation growth, production function ay never converge
  7. Ex-ante PPP + international Fisher ⇒ uncovered IRP; uncovered IRP + covered IRP ⇒ forward rate parity.
  8. Carry trade profits when high-yield currency depreciates less than the rate differential; crash risk = negative skew, fat tails.
  9. Currency crisis signals: deteriorating terms of trade, falling FX reserves, currency above mean, rising inflation, fixed peg, liberalized capital, money supply/bank reserves up, banking crises.
  10. Neoclassical: steady-state growth depends on θ, labor share (1 − α) and ΔL — not on savings or capital.
  11. TFP growth is estimated as the residual of the growth accounting equation.
  12. Long-run stock market appreciation ≈ potential GDP growth; P/E and profit share cannot grow forever. Page 10 of 59
Subject 2 · 13 tables

2 Financial Statement Analysis (72 formulas)

Readings: Intercorporate Investments · Employee Compensation: Post-Employment and Share-Based · Multinational Operations · Analysis of Financial Institutions · Evaluating Quality of Financial Reports · Integration of Financial Statement Analysis Techniques

2.1 Equity method – investment income
equity income = % owned × investee net income − % owned ×
(excess purchase price allocated to depreciable assets ÷ useful
life)
Whereexcess purchase price = price paid − % owned × BV of investee net assets
▸ Use / trapDividends received are NOT income; they reduce the investment account. Extra depreciation on fair-value write-ups reduces equity income.
L1 → L2L2 adds amortization of excess purchase price (fair-value step-ups) inside equity income.
2.2 Equity method – year-end investment balance
ending investment = beginning investment + equity income − (%
owned × dividends)
= % acquired × (BV of net assets at beginning + NI − dividends)
+ unamortized excess purchase price
Whereunamortized excess = excess allocated to assets/goodwill − cumulative extra depreciation
▸ Use / trapGoodwill inside the one-line investment is not amortized. Investment shown as a single noncurrent asset line.
2.3 Goodwill under equity method
goodwill = purchase price − (% owned × BV of net assets) − [%
owned × (FV − BV) of identifiable assets]
WhereFV − BV = fair value step-up of specific assets (e.g., equipment)
▸ Use / trapRemainder after allocating excess to identifiable assets is goodwill; it is embedded in the investment account.
2.4 Unconfirmed intercompany profit (upstream &
downstream)
profit to eliminate = total intercompany profit × % unconfirmed
(still in inventory) × % owned
Whereupstream = investee → investor · downstream = investor → investee
▸ Use / trapReduce equity income by investor's share of profit on goods not yet sold to third parties; recognize it when the goods are sold.
2.5 Full goodwill (US GAAP required; IFRS allowed)
full goodwill = (purchase price ÷ % owned) − fair value of net
identifiable assets of the subsidiary
Wherepurchase price ÷ % owned = implied fair value of whole subsidiary
▸ Use / trapTarget's own pre-existing goodwill is ignored (unidentifiable). Full goodwill gives higher assets and equity → lower ROA and ROE. rbeiset.com · Mentored by Deepak Goyal — CFA, FRM · Noida ysis R8 · Employee Compensation: Post-Employment and Share-Based Evaluating Quality of Financial Reports 13 formulas
2.6 Partial goodwill (IFRS only)
partial goodwill = purchase price − (% owned × FV of net
identifiable assets of the subsidiary)
partial goodwill = % owned × full goodwill
WhereFV = fair value
▸ Use / trapAlways ≤ full goodwill when parent owns <100%. Difference is mirrored in noncontrolling interest.
2.7 Noncontrolling interest at acquisition
NCI (full goodwill) = % not owned × (purchase price ÷ %
owned)
NCI (partial goodwill) = % not owned × (fair value of net
identifiable assets of the subsidiary)
Where% not owned = 1 − parent ownership
▸ Use / trapNCI is reported in equity. Full-goodwill NCI is larger by exactly the goodwill difference.
2.8 Minority (noncontrolling) interest – income and balance
roll-forward
NCI in income = subsidiary NI × % not owned
ending NCI = beginning NCI + (% not owned × sub NI) − (%
not owned × sub dividends)
Wherebeginning NCI = sub equity × % not owned (when goodwill is zero)
▸ Use / trapConsolidated NI = parent NI + sub NI − NCI share. Acquisition and equity method report the same NI.
2.9 Consolidated total assets (acquisition method, at date of
acquisition)
consolidated assets = parent assets + 100% of subsidiary assets
(at FV) − cash paid + goodwill
Wheresubsidiary equity is eliminated; NCI created
▸ Use / trap100% of sub assets/liabilities included even if <100% owned. Proportionate consolidation includes only % owned share.
2.10 Goodwill impairment – US GAAP
Step 1: impaired if carrying value of reporting unit (incl.
goodwill) > fair value of reporting unit
Step 2: loss = carrying value of goodwill − implied goodwill
implied goodwill = FV of reporting unit − FV of its identifiable
net assets
Wherereporting unit = level at which goodwill is tested
▸ Use / trapTest is based on the unit's value decline; loss is based on goodwill's decline. Reversal prohibited. Page 11 of 59
2.11 Goodwill impairment – IFRS
impairment loss = carrying amount of cash-generating unit −
recoverable amount (if positive)
WhereCGU = cash-generating unit where goodwill is assigned
▸ Use / trapSingle-step test.
2.12 Bargain purchase
gain = FV of net assets acquired − purchase price (when price <
FV)
▸ Use / trapRecognized immediately as a gain in the income statement under both IFRS and US GAAP. R8 · Employee Compensation: Post-Employment and Sh
2.13 Debt securities at amortized cost / FVPL / FVOCI
interest revenue = beginning carrying value × market yield at
purchase
amortized discount = interest revenue − coupon
unrealized G/L = fair value − (beginning carrying value +
amortized discount)
▸ Use / trapAmortized cost ignores FV changes; FVPL puts unrealized G/L in income; FVOCI puts it in OCI (equity). Interest revenue identical in all three. hare-Based 12 formulas
2.14 Share-based compensation expense
annual expense =
grant-date fair value per option (or share) × number granted
vesting period (years)
Wherefair value fixed at grant date (option model, e.g., Black-Scholes; stock grant = share price × shares)
▸ Use / trapExpense ↓ RE and ↑ share-based compensation reserve → total equity unchanged. No cash flow at grant. Lower volatility assumption → lower expense.
2.15 RSU grant value
RSU value = (grant-date stock price − PV of expected dividends
during vesting) × number of units
WhereRSU holders accrue no dividends during vesting
▸ Use / trapExpensed straight-line over vesting period into the share-based compensation reserve.
2.16 Tax deduction for share-based compensation
stock grants: tax deduction = share price on settlement date ×
number of shares vested
options: tax deduction = intrinsic value on settlement date ×
number of options vested = (stock price on settlement date −
strike price) × number of options
▸ Use / trapDeduction > cumulative book expense → tax windfall; < → shortfall. IFRS: to equity. US GAAP: through tax expense (volatile ETR).
2.17 Treasury stock method – dilutive shares from
options/RSUs
number of treasury shares =
assumed proceeds
average share price during the reporting period
assumed proceeds = cash proceeds + average unrecognized
share-based compensation expense
dilutive shares = number of options (or RSUs) granted − treasury
shares
Wherecash proceeds = number of options × exercise price (zero for stock grants) · average unrecognized expense = average of last two period-end unamortized amounts
▸ Use / trapOptions include exercise proceeds, so they create fewer dilutive shares than RSUs with equal unrecognized expense. Net loss → no dilution.
L1 → L2L2 adds unrecognized compensation expense to assumed proceeds (L1 used exercise cash only). rbeiset.com · Mentored by Deepak Goyal — CFA, FRM · Noida
2.18 Funded status and balance sheet amount
funded status = fair value of plan assets − PBO
balance sheet asset (liability) = funded status
WherePBO = projected benefit obligation (PV of benefits earned to date incl. future salary increases)
▸ Use / trapNegative = underfunded → net pension liability (IFRS and US GAAP). Underfunded amount is deducted from enterprise value.
2.19 Interest cost – US GAAP vs IFRS net interest
US GAAP: interest cost = beginning PBO × discount rate
IFRS: net interest income (expense) = beginning funded status ×
discount rate
Wherediscount rate ≈ yield on high-quality (investment-grade) corporate bonds
▸ Use / trapIFRS implicitly sets expected return on assets = discount rate. Negative IFRS result (underfunded) = net interest expense.
2.20 Expected return on plan assets (US GAAP)
expected return = expected rate of return × beginning plan assets
▸ Use / trapReduces US GAAP pension cost in P&L; affects neither PBO nor FV of plan assets. Higher assumed rate → lower reported pension cost.
2.21 Corridor approach (US GAAP only)
corridor = 10% × greater of (beginning PBO, beginning plan
assets)
amortize excess of beginning unrecognized actuarial G/L over
corridor over remaining service life
▸ Use / trapNo amortization if beginning unamortized actuarial loss ≤ corridor. Amortized loss ↑ pension cost; amortized gain ↓ it. IFRS never amortizes.
2.22 Pension cost in P&L – US GAAP
pension expense = current service cost + interest cost − expected
return on plan assets (+ amortization of past service cost +
amortization of actuarial losses − gains)
Whereinterest cost = discount rate × beginning PBO
▸ Use / trapPast service cost goes to OCI and is amortized over remaining service life. Actuarial G/L amortized only beyond corridor. Page 12 of 59
2.23 Pension cost in P&L – IFRS
pension expense = current service cost (incl. past service cost) +
net interest expense (− net interest income)
net interest = discount rate × beginning funded status
Whereremeasurements (actuarial G/L, actual − expected return) → OCI, never amortized
▸ Use / trapPast service cost expensed immediately in P&L. No separate expected-return assumption to manipulate. R9 · Multinational Operations
2.24 PBO reconciliation
ending PBO = beginning PBO + current service cost + interest
cost (+ past service cost) + actuarial loss (− gain) − benefits paid
Whereinterest cost = beginning PBO × discount rate
▸ Use / trapUse it to back out benefits paid. Higher discount rate → lower PBO; higher compensation growth → higher PBO.
2.25 Plan assets reconciliation
ending plan assets = beginning plan assets + employer
contributions + actual return − benefits paid
▸ Use / trapActual (not expected) return. Employer contributions are the actual cash flow (operating activities). 8 formulas
2.26 Foreign currency transaction gain/loss
transaction gain (loss) = FC amount × (spot rate on settlement or
balance sheet date − spot rate on transaction date)
Whererates quoted as presentation currency per unit of FC
▸ Use / trapReceivable in FC: FC depreciates → loss. Payable in FC: FC depreciates → gain. Recognized in income statement; placement (operating/non-operating) not specified.
2.27 CTA plug (current rate method)
ending retained earnings = beginning RE + net income −
dividends
CTA = total assets − liabilities − common stock − ending
retained earnings
Whereall at translated values
▸ Use / trapCTA is cumulative; the period translation gain/loss = ending CTA − beginning CTA (reported in equity/OCI).
2.28 Remeasurement gain/loss (temporal method)
remeasurement gain (loss) = plug that reconciles income before
gain/loss to net income implied by the balance sheet (change in
retained earnings + dividends)
▸ Use / trapReported in the income statement → more volatile net income than current rate method.
2.29 Translation exposure
current rate method: exposure = net assets (assets − liabilities)
temporal method: exposure = net monetary assets (monetary
assets − monetary liabilities)
Wheremonetary = cash, receivables, payables, ST and LT debt
▸ Use / trapExposed assets + depreciating FC → loss; exposed liabilities + depreciating FC → gain. Most firms have net monetary liability exposure. R10 · Analysis of Financial Institutions
2.30 Hyperinflation threshold (US GAAP)
hyperinflationary if cumulative 3-year inflation > 100% (≈ more
than 26% per year: 1.263 − 1 ≈ 100%)
▸ Use / trapUS GAAP: use temporal method. IFRS: restate for inflation using price index, then translate at current rate.
2.31 IFRS inflation restatement
restated nonmonetary item = historical amount ×
ending price index
price index at acquisition/transaction date
Wheremonetary items are not restated
▸ Use / trapEquity (ex-RE) restated from beginning of period/contribution date; RE is the balance-sheet plug; net purchasing power G/L forces NI to match.
2.32 Net purchasing power gain/loss
purchasing power gain (loss) = monetary amount ×
ending index − index when amount arose
index when amount arose
beginning balance → beginning index · changes during year →
average index
Wheremonetary assets enter as negative (loss), monetary liabilities as positive (gain)
▸ Use / trapHolding net monetary liabilities during inflation → gain (analogous to temporal method with depreciating FC). Recognized in income.
2.33 Effective tax rate
income tax expense
effective tax rate =
pretax profit
Wherestatutory rate = home-country tax code rate
▸ Use / trapReconciliation (statutory → effective) shows foreign-operation effects; changing profit mix across countries changes future ETR. 12 formulas Page 13 of 59
2.34 Risk-weighted assets (RWA)
RWA = Σ (risk weighti × asset amounti)
Whererisk weights set by regulator (e.g., cash 0%, performing corporate loans 100%)
▸ Use / trapRiskier assets → higher RWA → more capital required. Capital ratios use RWA, not total assets. rbeiset.com · Mentored by Deepak Goyal — CFA, FRM · Noida
2.35 Basel III capital ratios
Common Equity Tier 1 capital
CET1 ratio = ≥ 4.5%
RWA
CET1 + other Tier 1 capital
Tier 1 ratio = ≥ 6%
RWA
Tier 1 + Tier 2 capital
total capital ratio = ≥ 8%
RWA
WhereCET1 = common stock + APIC + RE + OCI − intangibles − DTAs · other Tier 1 = subordinated, no maturity, no contractual dividends · Tier 2 = subordinated, original maturity > 5 years
▸ Use / trapCET1 is the most important tier. Check every tier against its minimum separately.
2.36 Loan loss adequacy ratios
allowance for loan losses ÷ nonperforming loans
allowance for loan losses ÷ net loan charge-offs
provision for loan losses ÷ net loan charge-offs
Wherenet charge-offs = write-offs − recoveries
▸ Use / trapEach compares a discretionary amount (allowance/provision) to an objective one. Falling ratios → under-provisioning, aggressive accounting.
2.37 Liquidity coverage ratio (LCR)
highly liquid assets
LCR =
expected cash outflows
Whereexpected cash outflows = estimated one-month liquidity needs in a stress scenario
▸ Use / trapBasel III minimum 100%. Measures liquidity under stress (30-day horizon).
2.38 Net stable funding ratio (NSFR)
available stable funding
NSFR =
required stable funding
ASF = Σ (ASF factor × funding source)
WhereASF factors: regulatory capital/liabilities > 1 yr 100% · stable retail deposits 95% · less-stable retail 90% · corporate/sovereign < 1 yr 50% · other 0%
▸ Use / trapBasel III minimum 100%. Measures funding stability over one year; retail deposits more stable than corporate.
2.39 Underwriting loss ratio (P&C)
claims paid + Δ loss reserves
underwriting loss ratio =
net premium earned
Wherealso called loss and loss adjustment expense ratio
▸ Use / trapMeasures underwriting/pricing quality. Upward loss-reserve revisions = aggressive earlier profit booking. R11 · Evaluating Quality of Financial Reports
2.40 Expense ratio (underwriting expense ratio)
underwriting expenses including commissions
expense ratio =
net premium written
▸ Use / trapMeasures operating efficiency. Note denominator is premium WRITTEN (US GAAP reporting may use premium earned for both ratios).
2.41 Loss and loss adjustment expense ratio
loss and loss adjustment expense ratio =
loss expense + loss adjustment expense
net premiums earned
▸ Use / trapLower = more successful risk estimation.
2.42 Dividends to policyholders ratio
dividends to policyholders ratio =
dividends to policyholders (shareholders)
net premiums earned
▸ Use / trapLiquidity measure of dividend cash outflow relative to premium income.
2.43 Combined ratio and CRAD
combined ratio = loss and loss adjustment expense ratio +
underwriting expense ratio
combined ratio after dividends (CRAD) = combined ratio +
dividends to policyholders ratio
▸ Use / trapCombined ratio > 100% = underwriting loss. Industry ratio high = soft market; low = hard market. CRAD is most comprehensive profitability measure.
2.44 Total investment return ratio (insurers)
total investment return ratio = total investment income ÷ invested
assets
▸ Use / trapRecompute excluding unrealized gains to see reliance on fair- value estimates. Used for P&C and L&H.
2.45 L&H insurer cost ratios
total benefits paid ÷ net premiums written and deposits
commissions and expenses ÷ net premiums written and deposits
▸ Use / trapL&H: longer contract period, higher float, higher interest-rate (duration-mismatch) risk than P&C. 13 formulas
2.46 Beneish M-score
M-score = −4.84 + 0.920 (DSRI) + 0.528 (GMI) + 0.404 (AQI) +
0.892 (SGI) + 0.115 (DEPI) − 0.172 (SGAI) + 4.679 (Accruals)
− 0.327 (LEVI)
WhereM-score is a standard normal variable (probit)
▸ Use / trapHigher (less negative) M-score = higher manipulation probability. Cutoff −1.78: M > −1.78 → likely manipulator. Interpret, don't memorize coefficients. rbeiset.com · Mentored by Deepak Goyal — CFA, FRM · Noida
2.47 DSRI – days sales receivable index
DSRI = (receivablest / salest) / (receivablest−1 / salest−1)
▸ Use / trapLarge increase may indicate revenue inflation (aggressive recognition).
2.48 GMI – gross margin index
GMI = gross margint−1 / gross margint
▸ Use / trapGMI > 1 → margin deteriorated → more likely to manipulate. Page 14 of 59
2.49 AQI – asset quality index
AQI = [1 − (PPEt + CAt) / TAt] / [1 − (PPEt−1 + CAt−1) / TAt−1]
WherePPE = property, plant, and equipment · CA = current assets · TA = total assets
▸ Use / trapAQI > 1 may indicate excessive capitalization of expenses.
2.50 SGI – sales growth index
SGI = salest / salest−1
▸ Use / trapNot manipulation itself; growth firms face pressure to keep meeting expectations.
2.51 DEPI – depreciation index
DEPI = depreciation ratet−1 / depreciation ratet
depreciation rate = depreciation / (depreciation + PPE)
▸ Use / trapDEPI > 1 → slower depreciation (longer lives/higher salvage) to boost earnings. DEPI < 1 is NOT consistent with extending lives.
2.52 SGAI – SG&A expense index
SGAI = (SGAt / salest) / (SGAt−1 / salest−1)
▸ Use / trapRising SG&A % may predispose to manipulation; regression coefficient is negative (unexpected).
2.53 Accruals (Beneish)
accruals = (income before extraordinary items − cash flow from
operations) / total assets
▸ Use / trapHigher accruals → higher M-score (coefficient 4.679, largest). R12 · Integration of Financial Statement Analysis Techni
2.54 LEVI – leverage index
LEVI = leveraget / leveraget−1
leverage = debt / assets
▸ Use / trapCoefficient negative in actual regression results.
2.55 Altman Z-score – inputs
Z-score = f(net working capital / total assets, retained earnings /
total assets, operating profit / total assets, market value of equity
/ book value of liabilities, sales / total assets)
Wherediscriminant analysis model; coefficients given in the vignette
▸ Use / trapHigher Z = lower bankruptcy probability; each variable positively related to Z. Limitation: single-period, static, accounting-based.
2.56 Earnings persistence regression
earningst+1 = α + β1 earningst + ε
Whereβ1 = persistence coefficient
▸ Use / trapHigher β1 = more persistent (sustainable) earnings = higher quality.
2.57 Cash vs accrual components of earnings
earningst+1 = α + β1 cash flowt + β2 accrualst + ε
Whereβ1 > β2
▸ Use / trapAccrual component less persistent than cash component; accrual-heavy (esp. discretionary) earnings mean-revert faster.
2.58 Receivables quality checks
receivables turnover = net annual sales / average receivables
DSO = 365 / receivables turnover
▸ Use / trapReceivables growing faster than sales, rising DSO, falling turnover vs peers → poor revenue quality (channel stuffing, bill-and-hold). iques 14 formulas
2.59 Extended (5-way) DuPont
NI EBT EBIT revenue
ROE = × × × ×
EBT EBIT revenue average assets
average assets
average equity
Wheretax burden × interest burden × EBIT margin × total asset turnover × financial leverage
▸ Use / trapHigher tax/interest burden ratios mean LOWER tax and interest drag. Tax burden = 1 − tax rate.
2.60 DuPont excluding equity-method investee
net income − equity income
tax burden (adj.) =
EBT
asset turnover (adj.) =
revenue
[(beginning total assets − beginning equity investment) +
(ending total assets − ending equity investment)] / 2
Whereequity income assumed not included in EBIT/EBT
▸ Use / trapRemoves associate's earnings and investment to show standalone performance. Do NOT adjust leverage unless financing of investment is given. rbeiset.com · Mentored by Deepak Goyal — CFA, FRM · Noida
2.61 Balance sheet accruals and accruals ratio
accrualsBS = NOAEND − NOABEG
(NOAEND − NOABEG)
accruals ratioBS =
(NOAEND + NOABEG)/2
WhereNOA = operating assets − operating liabilities · operating assets = total assets − cash, equivalents, marketable securities · operating liabilities = total liabilities − total debt (ST + LT)
▸ Use / trapLower ratio = higher earnings quality. Wide fluctuations may signal manipulation.
2.62 Cash flow statement accruals and accruals ratio
accrualsCF = NI − CFO − CFI
(NI − CFO − CFI)
accruals ratioCF =
(NOAEND + NOABEG)/2
WhereCFO = cash flow from operating activities · CFI = cash flow from investing activities
▸ Use / trapCFF excluded. CFI is negative when investing, so subtracting it adds back. For comparability, US GAAP firms' interest/dividends paid may need moving from CFO to CFF.
2.63 Cash generated from operations (CGO)
CGO = operating cash flow + cash interest + cash taxes
CGO = EBIT + non-cash charges − increase in working capital
▸ Use / trapCompare CGO / operating income: > 1 means operating income confirmed by cash. If IFRS firm puts interest paid in CFF, don't add interest back. Page 15 of 59
2.64 Cash flow ratios (Thunderbird analysis)
cash return on total assets = CGO / average total assets
cash flow to reinvestment = CGO / capital expenditures
cash flow to total debt = CGO / total debt
cash flow interest coverage = CGO / cash interest
▸ Use / trapUsed to confirm earnings quality, ability to fund capex, and debt capacity.
2.65 Segment capital allocation ratio
segment % of total capital expenditures
capex-to-assets ratio =
segment % of total assets
▸ Use / trap> 1 = segment is being grown. Overallocation red flag: ratio > 1 for the lowest-EBIT-margin segment.
2.66 Segment cash flow proxy and return
segment cash flow ≈ EBIT + depreciation and amortization
cash return = segment cash flow / average segment assets
Whereaverage assets = (beginning + ending) / 2
▸ Use / trapSegmental cash flow is rarely reported; use the proxy to judge capital allocation on a cash basis.
2.67 Market value decomposition (standalone value)
pro rata associate value = associate market cap × % owned ×
current exchange rate
implied standalone value = parent market cap − pro rata associate
value
▸ Use / trapConvert associate earnings at AVERAGE rate, market value at CURRENT (year-end) rate.
2.68 Implied P/E excluding associate
implied P/E =
implied standalone value
parent net income − equity income from associate
▸ Use / trapCompare to index P/E; crude if parent and associate use different accounting standards (US GAAP vs IFRS).
2.69 Working capital (liquidity) ratios
current assets
current ratio =
current liabilities
cash + marketable securities + receivables
quick ratio =
current liabilities
cash + short-term marketable securities
cash ratio =
current liabilities
defensive interval ratio = (cash + short-term marketable
investments + receivables) ÷ daily cash expenditures
▸ Use / trapDefensive interval falls with higher daily expenditures or lower marketable securities. rbeiset.com · Mentored by Deepak Goyal — CFA, FRM · Noida
2.70 Activity ratios and cash conversion cycle
net annual sales
receivables turnover = · DSO =
average receivables
365
receivables turnover
cost of goods sold
inventory turnover = · DOH =
average inventory
365
inventory turnover
purchases
payables turnover = · days of payables =
average payables
365
payables turnover
cash conversion cycle = DSO + DOH − days of payables
Wherepurchases = COGS + ending inventory − beginning inventory
▸ Use / trapShorter CCC = better working-capital management (faster collection, faster inventory, slower payment).
2.71 Profitability ratios
gross profit
gross profit margin = · operating profit margin =
net sales
EBIT net income
· net profit margin =
net sales net sales
net income
ROA = · return on total capital =
average total assets
EBIT
· ROE =
interest-bearing debt + shareholders' equity
net income
average total equity
▸ Use / trapPure income-statement ratios (margins) are preserved under the current rate method; mixed ratios are not.
2.72 Leverage and coverage ratios
total assets total debt
financial leverage = · debt-to-equity =
total equity total equity
total long-term debt
· LT debt-to-equity =
total equity
debt-to-capital =
short-term debt + long-term debt
· interest
short-term debt + long-term debt + total equity
EBIT
coverage =
interest expense
▸ Use / trapLeverage ratio alone hides how burdensome liabilities are (debt vs deferred taxes, provisions). Page 16 of 59 COMPARISON TABLES & FRAMEWORKS Intercorporate investments: classification Ownership Influence Accounting treatment < 20% (financial No significant Amortized cost, FVPL, FVOCI assets) influence 20%–50% Significant Equity method (associates) influence > 50% (business Control Acquisition method combination) Joint venture (shared Joint control Equity method (rarely control) proportionate consolidation) Financial assets under IFRS 9 Item Amortized cost Eligible Debt only (business model + cash flow tests) Balance sheet Amortized cost Income statement Interest incl. amortization; realized G/L Equity method vs proportionate consolidation vs acquisition Item Equity Net income Same Equity Same as proportionate Assets, liabilities, revenue Lowest Net profit margin Higher ROE Higher ROA Higher Full vs partial goodwill Item Full goodwill Partial goodwill Allowed US GAAP required; IFRS IFRS only allowed Goodwill Higher Lower NCI basis Subsidiary fair value FV of identifiable net assets Total assets & Higher Lower equity ROA, ROE Lower Higher Goodwill impairment: US GAAP vs IFRS Item US GAAP Test Two steps (reporting unit) Loss Goodwill carrying value − implied goodwill Pension cost components: US GAAP vs IFRS Component US GAAP Current service cost Income statement Past service cost OCI, amortized over service life Interest Beginning PBO × discount rate (P&L) Expected return Assumed rate × plan assets (P&L) Actuarial G/L OCI; amortized beyond 10% corridor Share-based compensation: tax windfall/shortfall Item IFRS US GAAP Windfall (settlement price > grant Directly to Reduces tax expense price) equity Shortfall Directly to Increases tax equity expense ETR volatility Lower Higher rbeiset.com · Mentored by Deepak Goyal — CFA, FRM · Noida FVPL FVOCI Debt and equity Debt and equity Fair value Fair value, G/L in equity Interest, dividends, all G/L Interest, dividends Proportionate Acquisition Same Same Same as equity Higher by NCI In-between Highest In-between Lower Same as equity Lower In-between Lower IFRS One step (cash-generating unit) Carrying amount − recoverable amount IFRS Income statement Income statement immediately Net interest on funded status (P&L) Implicitly = discount rate (in net interest) OCI; never amortized Temporal method vs current rate method Item Temporal Current rate When used Functional = parent's Functional ≠ presentation currency presentation currency Monetary Current rate Current rate assets/liabilities Nonmonetary Historical rates Current rate assets/liabilities Common stock Historical rate Historical rate Revenues, SG&A Average rate Average rate COGS, depreciation, Historical rates Average rate amortization Exposure Net monetary assets Net assets FX gain/loss Income statement Equity (CTA) Page 17 of 59 Gain or loss from exposure Exposure LC appreciating LC depreciating Net assets (current rate) Gain Loss Net liabilities (current rate) Loss Gain Net monetary assets (temporal) Gain Loss Net monetary liabilities (temporal) Loss Gain Hyperinflationary subsidiaries Item US GAAP Definition Cumulative inflation > 100% over 3 years Method Temporal (functional = parent currency) Gain/loss Remeasurement G/L in income Basel III minimums Measure Minimum Horizon / basis CET1 / RWA 4.5% Risk-weighted assets Total Tier 1 / RWA 6% Risk-weighted assets Total capital / RWA 8% Risk-weighted assets LCR 100% 30-day (one-month) stress NSFR 100% One-year funding ★ Exam signals & key rules — Financial Statement Analysis 1. Equity method: dividends reduce the investment account and are never income. 2. Acquisition method shows 100% of subsidiary assets, liabilities, revenues; NCI makes up the unowned share. 3. All three methods (equity, proportionate, acquisition) give the same net income. 4. Option fair value is fixed at grant date; later price moves only affect tax deductions. 5. Firms can lower pension cost by raising the discount rate, cutting 1 compensation growth, shortening life expectancy, or (US GAAP) raising 1 expected return. 1 rbeiset.com · Mentored by Deepak Goyal — CFA, FRM · Noida IFRS Not defined; 100%/3 yrs is one indicator Restate for inflation, then current rate Net purchasing power G/L in income P&C vs L&H insurers Feature P&C L&H Claims Lumpier, less Stable, predictable predictable Contract period Shorter / lower Longer / higher / float Key risk Liquidity Interest rate (duration mismatch) Key ratios Loss, expense, Benefits paid, commissions & combined, CRAD expenses ÷ premiums Accruals ratio: balance sheet vs cash flow approach Item Balance sheet Cash flow statement Accruals NOAEND − NOABEG NI − CFO − CFI Scaled by Average NOA Average NOA Interpretation Lower = higher quality Lower = higher quality Can differ due to Acquisitions, FX, inconsistent items Same 6. Temporal method: functional = parent's currency (integrated subsidiary); current rate: functional = local (self-contained subsidiary). 7. Current rate method preserves pure ratios; mixed ratios (IS numerator, ending BS denominator) rise if FC depreciates. 8. Sales growth from price/volume is more sustainable than growth from currency appreciation. 9. Combined ratio > 100% = underwriting loss; high industry combined ratio = soft pricing market. 10. Beneish M-score above −1.78 flags likely manipulation. 11. Positive net income with negative CFO is a major earnings-quality red flag. 12. Accrual-heavy earnings mean-revert faster, especially discretionary accruals. Page 18 of 59 03 Corporate Issuers 36 formulas C FA L E V E L I I 2 0 2 7 · S U B J E C T 0 3 9 tables 12 exam rules R13 · Analysis of Dividends and S R15 · Cost of Capital: Advanced Topics R16 · Corporate Restructuring R13 · Analysis of Dividends and Share Repurchases

★ Exam signals & key rules — Financial Statement Analysis

  1. Equity method: dividends reduce the investment account and are never income.
  2. Acquisition method shows 100% of subsidiary assets, liabilities, revenues; NCI makes up the unowned share.
  3. All three methods (equity, proportionate, acquisition) give the same net income.
  4. Option fair value is fixed at grant date; later price moves only affect tax deductions.
  5. Firms can lower pension cost by raising the discount rate, cutting 1 compensation growth, shortening life expectancy, or (US GAAP) raising 1 expected return. 1 rbeiset.com · Mentored by Deepak Goyal — CFA, FRM · Noida 02 · Financial Statement Analysis IFRS Not defined; 100%/3 yrs is one indicator Restate for inflation, then current rate Net purchasing power G/L in income P&C vs L&H insurers Feature P&C L&H Claims Lumpier, less Stable, predictable predictable Contract period Shorter / lower Longer / higher / float Key risk Liquidity Interest rate (duration mismatch) Key ratios Loss, expense, Benefits paid, commissions & combined, CRAD expenses ÷ premiums Accruals ratio: balance sheet vs cash flow approach Item Balance sheet Cash flow statement Accruals NOAEND − NOABEG NI − CFO − CFI Scaled by Average NOA Average NOA Interpretation Lower = higher quality Lower = higher quality Can differ due to Acquisitions, FX, inconsistent items Same
  6. Temporal method: functional = parent's currency (integrated subsidiary); current rate: functional = local (self-contained subsidiary).
  7. Current rate method preserves pure ratios; mixed ratios (IS numerator, ending BS denominator) rise if FC depreciates.
  8. Sales growth from price/volume is more sustainable than growth from currency appreciation.
  9. Combined ratio > 100% = underwriting loss; high industry combined ratio = soft pricing market.
  10. Beneish M-score above −1.78 flags likely manipulation.
  11. Positive net income with negative CFO is a major earnings-quality red flag.
  12. Accrual-heavy earnings mean-revert faster, especially discretionary accruals. Page 18 of 59
Subject 3 · 9 tables

3 Corporate Issuers (36 formulas)

Readings: Analysis of Dividends and Share Repurchases · ESG Considerations in Investment Analysis · Cost of Capital: Advanced Topics · Corporate Restructuring

3.1 Effective tax rate – double taxation
effective tax rate = corporate tax rate + (1 − corporate tax rate)
(individual tax rate)
▸ Use / trapApplies to earnings distributed as dividends. E.g., 0.35 + (0.65) (0.15) = 44.75%.
3.2 Effective tax rate – split-rate system
effective tax rate = corporate tax rate for distributed income + (1
− corporate tax rate for distributed income)(individual tax rate)
▸ Use / trapSame as double taxation but use the LOWER corporate rate on distributed earnings, not the retained-earnings rate.
3.3 Effective tax rate – imputation system
effective tax rate on dividend = shareholder's marginal tax rate
Wherecorporate tax is credited to shareholder
▸ Use / trapShareholder below corporate rate gets a credit; above pays the difference.
3.4 Target payout adjustment model
expected increase in dividends = [(expected earnings × target
payout ratio) − previous dividend] × adjustment factor
adjustment factor = 1 / number of years over which the
adjustment in dividends will take place
expected dividend = previous dividend + expected increase in
dividends
▸ Use / trapPayout ratio may fall in a given year even while moving toward target long-run. Used with a stable dividend policy.
3.5 Ex-dividend price / price after repurchase
(shares × price) − total cash dividend
ex-dividend price =
shares outstanding
price after repurchase =
(shares × price) − amount repurchased
shares outstanding − shares repurchased
▸ Use / trapWith equal taxes and repurchase at market price, shareholder wealth is the same under a cash dividend or a buyback. R14 · ESG Considerations in Investment Analysis R15 · Cost of Capital: Advanced Topics
3.6 EPS after buyback
total earnings − after-tax cost of funds
EPS after buyback =
shares outstanding after buyback
Whereafter-tax cost of funds = 0 if surplus cash earns no return · shares repurchased = amount ÷ repurchase price
▸ Use / trapDebt-funded buyback raises EPS if after-tax cost of debt < earnings yield (E/P on price paid); lowers it if greater; unchanged if equal.
3.7 BVPS after buyback
book value − amount repurchased
BVPS after =
shares outstanding − (amount ÷ price per share)
▸ Use / trapRepurchase price > BVPS → BVPS falls; price < BVPS → BVPS rises.
3.8 Dividend payout and coverage
dividend payout ratio = dividends / net income
dividend coverage ratio = net income / dividends
retention ratio = 1 − payout ratio
▸ Use / trapHigh payout / low coverage vs industry → higher probability of a dividend cut.
3.9 FCFE coverage ratio
FCFE coverage ratio = FCFE / (dividends + share repurchases)
FCFE = cash flow from operations − FCInv + net borrowings
WhereFCInv = fixed capital investment
▸ Use / trapIncludes buybacks. Ratio significantly < 1 → unsustainable (drawing down cash). Trending down or below industry = warning.
3.10 Per-share measures
net income − preferred dividends
EPS =
average common shares outstanding
common stockholders' equity
BVPS =
total number of common shares outstanding
▸ Use / trapStock dividends/splits change share count and price proportionally; total equity and capital ratios unchanged. 0 formulas 19 formulas
3.11 WACC
WACC = Were + Wprp + Wdrd(1 − T)
Wherere = cost of equity · rp = cost of preferred · rd = cost of debt · W = target weights · T = marginal tax rate
▸ Use / trapUse target weights; assume current market-value weights reflect target unless told otherwise. rbeiset.com · Mentored by Deepak Goyal — CFA, FRM · Noida Share Repurchases R14 · ESG Considerations in Investment Analysis 10 formulas
3.12 Cost of debt – matrix pricing interpolation
interpolated yield = yieldshort + [(yieldlong − yieldshort) /
(maturitylong − maturityshort)] × (maturityinterpolated − maturityshort)
Whereyields = average YTM of comparable-rated bonds at each maturity
▸ Use / trapFor non-traded/thinly traded debt. Unrated debt: infer rating from interest coverage or D/E, then add rating spread to benchmark. Page 19 of 59
3.13 Rate implicit in the lease (RIIL)
PV of lease payments + PV of residual value = fair value of
leased asset + lessor's initial direct cost
RIIL = IRR that solves this equation
▸ Use / trapFinance-lease RIIL estimates cost of borrowing; if undisclosed use incremental borrowing rate (IBR).
3.14 Country risk premium from country risk rating
country risk premium = median interest rate of country − median
interest rate of benchmark country
Wherebenchmark country CRP = 0
▸ Use / trapAdded to cost of debt for foreign borrowers.
3.15 Historical ERP
historical ERP = historical mean return on broad equity index −
mean risk-free rate (same period)
▸ Use / trapChoices: index, sample period, arithmetic vs geometric mean, short vs long rf. Weaknesses: non-stationarity (ERP countercyclical), survivorship bias (upward).
3.16 GGM (DDM) forward-looking ERP
re = (D1/V0) + g
ERP = E(dividend yield) + g − rf
Whereg = consensus earnings growth = capital gains yield on index
▸ Use / trapAssumes constant growth; developing markets may need 3 stages: current index value = PV(stage 1) + PV(stage 2) + PV(stage 3); IRR − rf = ERP.
3.17 Grinold-Kroner model
CGY = ΔP/E + expected inflation (i) + real economic growth rate
(G) − ΔS
ERP = [DY + ΔP/E + i + G − ΔS] − rf
WhereDY = expected dividend yield · ΔP/E = expected repricing (P/E expansion/contraction) · ΔS = % change in shares outstanding
▸ Use / trapΔS positive = dilution (subtract); net buybacks make ΔS negative. ΔP/E = 0 if market fairly valued.
3.18 Expected inflation from TIPS
1 + YTMTreas
i= −1
1 + YTMTIPS
▸ Use / trapInput for Grinold-Kroner. If no separate rf given, the nominal Treasury yield may be used as rf.
3.19 Cost of equity – DDM
re = DY + CGY
Dt Pn
non-constant dividends: P0 = Σ t
+ → solve re
(1 + re) (1 + re)n
as IRR
WhereDY = dividend yield (D1/P0) · CGY = capital gains yield (g)
▸ Use / trapFor required return do NOT subtract rf. Use IRR when growth isn't constant.
3.20 Bond-yield-plus-risk-premium (BYRPM)
re = YTM on company's long-term debt + risk premium
Whererisk premium often = historical average of equity return − cost of debt
▸ Use / trapFor firms with publicly traded debt. Weakness: premium is arbitrary; unclear which bond yield to use. rbeiset.com · Mentored by Deepak Goyal — CFA, FRM · Noida
3.21 CAPM
required return on stock = risk-free rate + (equity risk premium ×
beta of stock)
Wherebeta from market-model regression of (excess) stock returns on index returns
▸ Use / trapPrivate company: use comparable public company beta adjusted for leverage.
3.22 Multifactor model (general)
required return = rf + (risk premium)1 + (risk premium)2 + … +
(risk premium)n
(risk premium)i = (factor sensitivity)i × (factor risk premium)i
Wherefactor sensitivity = factor beta
▸ Use / trapGreater explanatory power than single-factor CAPM.
3.23 Fama–French three-factor model
required return of stock = rf + β1ERP + β2SMB + β3HML
WhereSMB = small-cap minus large-cap return (size) · HML = high minus low book-to-market return (value)
▸ Use / trapFactor betas can be negative (e.g., HML beta −0.3), which lowers required return.
3.24 Fama–French five-factor model
required return of stock = rf + β1ERP + β2SMB + β3HML +
β4RMW + β5CMA
WhereRMW = robust minus weak profitability · CMA = conservative minus aggressive investment
▸ Use / trapNot suitable directly for private companies (no market price data).
3.25 Expanded CAPM (private companies)
required return = rf + (βpeer × ERP) + SP + SCRP
Whereβpeer = industry beta from peer public companies · SP = size premium · SCRP = specific company risk premium
▸ Use / trapStarts from standard CAPM with peer beta, then adds premiums. Some versions also add an industry premium (IP).
3.26 Build-up approach (private companies)
required return = rf + ERP + SP + IP + SCRP
WhereIP = industry risk premium · no beta used (ERP = average large public company)
▸ Use / trapAdd premiums as the subject differs from an average large public firm. IP = industry risk premium.
3.27 Country spread model – emerging market ERP
ERPemerging market = ERPdeveloped + (λ × CRP)
Whereλ = company's exposure to the local (emerging market) economy · CRP = country risk premium
▸ Use / trapCRP proxy: sovereign yield spread (EM government vs developed benchmark).
3.28 Damodaran-adjusted CRP
CRP = sovereign yield spread × (σequity / σbond)
Whereσ = standard deviation of the country's equity and bond markets
▸ Use / trapScales bond spread up to equity-market risk. Page 20 of 59
3.29 International CAPM (ICAPM)
E(re) = rf + βG[E(rgm) − rf] + βC[E(rC) − rf]
WhereβG = sensitivity to global market index · rgm = global market return · βC = sensitivity to foreign currency index · rC = foreign currency index return
▸ Use / trapLow βG = low global integration. GCAPM/ICAPM suit developed- market global firms; EM exposure → add CRP. R16 · Corporate Restructuring
3.30 Premium paid analysis
premium = (DP − UP) / UP
WhereDP = deal price · UP = unaffected (pre-announcement) price
▸ Use / trapPre-announcement rumors may inflate UP; use week-old price or prior-week VWAP.
3.31 Materiality (size test)
size = transaction value (cash + stock issued + debt assumed) ÷
acquirer enterprise value
cost restructuring size = estimated savings ÷ sales
▸ Use / trapProportion > 10% generally material. Also judge fit with existing strategy.
3.32 Enterprise value
EV = market value of debt + market value of equity − cash and
investments
▸ Use / trapBasis for EV/EBITDA, EV/FCF, EV/sales, sector multiples (EV/subscribers, EV/reserves).
3.33 Comparable company / transaction value
estimated target value = mean or median comparable multiple ×
target metric (e.g., EBITDA, revenue, EPS)
▸ Use / trapCCA excludes takeover premium (add separately; common for spin-offs). CTA uses deal prices so premium already included. Median resists outliers. COMPARISON TABLES & FRAMEWORKS Taxation of dividends System Effective tax rate on distributed earnings Double taxation tc + (1 − tc) × ti Split-rate Same, using corporate rate on distributed income Imputation Shareholder's marginal tax rate Share repurchase methods Method Price Key feature Open market Market price Most flexible; no obligation to complete Fixed-price Fixed, usually premium Fast; prorated if tender oversubscribed Dutch auction Range; highest accepted bid Finds minimum clearing price paid to all Direct Premium or discount Large holder; greenmail risk negotiation Dividend theories Theory Claim MM irrelevance Payout irrelevant; homemade dividends (no taxes/costs) Bird-in-hand Dividends less risky than gains; higher payout lowers rs Tax aversion Prefer low payout when dividends taxed more than gains rbeiset.com · Mentored by Deepak Goyal — CFA, FRM · Noida 7 formulas
3.34 Implied valuation from stake purchase
implied equity value = price paid ÷ % stake acquired
implied EV = implied equity value + debt (− cash)
▸ Use / trapCompare implied EV with comparable-multiple EV to judge premium paid.
3.35 Pro forma leverage after restructuring
debt-to-EBITDA = total debt ÷ EBITDA
debt-to-net income (equity investment) = (debt + new debt) ÷ (NI
+ % owned × investee NI)
▸ Use / trapSale: net proceeds (after debt assumed) can repay debt. Spin- off: remove unit's debt and EBITDA, no proceeds. Interest savings don't affect EBITDA.
3.36 Pro forma combined EPS
EPS = [combined NI ± synergies − extra D&A − after-tax
interest on acquisition debt] ÷ (acquirer shares + new shares
issued)
Wheretaxes at weighted average rate of acquirer and target
▸ Use / trapSeven-step pro forma build: revenues, opex, D&A, other income, interest, taxes, shares. Cost of equity for private companies Approach Formula Uses beta? Expanded CAPM rf + βpeerERP + SP + SCRP Yes (peer) Build-up rf + ERP + SP + IP + SCRP No ERP estimation approaches Approach Strength Weakness Historical Objective, simple Non-stationary; survivorship bias Survey Consensus view Biased toward recent returns DDM (GGM) Forward-looking Constant-growth assumption Grinold-Kroner Decomposes growth, repricing, Needs many forecasts buybacks ESG: ownership structure and conflict Ownership Voting power Main conflict Dispersed Dispersed Principal–agent Concentrated Concentrated Principal–principal Dispersed Concentrated (pyramids, dual-class) Principal–principal Concentrated Dispersed (voting caps) — Page 21 of 59 ESG integration: fixed income vs equity Item Fixed income Equity Focus Downside risk Upside and downside Typical Credit ratios, credit spread Revenue/cost forecasts, adjustment discount rate Timing Match risk horizon to bond Investment horizon and maturity materiality Corporate transaction types Category Types Investment Equity investment, JV, acquisition Divestment Sale, spin-off Restructuring Cost (outsource/offshore), balance sheet, reorganization LBO Investment + divestment + restructuring Target valuation methods Method Takeover premium Main drawback DCF Model synergies Assumption-heavy directly Comparable company Must add Assumes market values peers (CCA) separately fairly Comparable transaction Already included Few deals; past mispricing (CTA) carried over ★ Exam signals & key rules — Corporate Issuers 1. Debt-financed buyback raises EPS only if after-tax cost of debt is below the earnings yield. 2. Buyback price above BVPS lowers BVPS; below BVPS raises it. 3. Equal-sized cash dividend and buyback leave shareholder wealth unchanged (same taxes). 1 4. FCFE coverage counts buybacks; well below 1 means payouts are unsustainable. 1 5. Dividend initiation is an ambiguous signal; unexpected increases positive, cuts negative. 1 6. Use target capital-structure weights and marginal tax rate in WACC. rbeiset.com · Mentored by Deepak Goyal — CFA, FRM · Noida Main motivations Synergies, growth, capabilities, undervalued target Liquidity, valuation, refocus, regulation Financial distress, improve return on capital PE-led, debt-financed e 7. Geometric mean preferred for long-horizon ERP; arithmetic for one period. 8. Common-law countries, developed markets, stable currencies → lower cost of capital. 9. Expanded CAPM uses peer beta; build-up uses no beta but adds IP. 10. Transaction value > 10% of acquirer's EV (or cost savings > 10% of sales) is generally material. 11. CCA suits spin-offs (no premium); CTA suits acquisitions (premium embedded). 12. Spin-off generates no proceeds; sale proceeds can repay debt. Page 22 of 59 04 Equity Valuation 91 formulas C FA L E V E L I I 2 0 2 7 · S U B J E C T 0 4 10 tables 12 exam rules R17 · Equity Valuation: Applicatio R19 · Free Cash Flow Valuation R20 · Market-Based Valuation: Price and Enter R22 · Private Company Valuation R17 · Equity Valuation: Applications and Processes

★ Exam signals & key rules — Corporate Issuers

  1. Debt-financed buyback raises EPS only if after-tax cost of debt is below the earnings yield.
  2. Buyback price above BVPS lowers BVPS; below BVPS raises it.
  3. Equal-sized cash dividend and buyback leave shareholder wealth unchanged (same taxes). 1
  4. FCFE coverage counts buybacks; well below 1 means payouts are unsustainable. 1
  5. Dividend initiation is an ambiguous signal; unexpected increases positive, cuts negative. 1
  6. Use target capital-structure weights and marginal tax rate in WACC. rbeiset.com · Mentored by Deepak Goyal — CFA, FRM · Noida 03 · Corporate Issuers Main motivations Synergies, growth, capabilities, undervalued target Liquidity, valuation, refocus, regulation Financial distress, improve return on capital PE-led, debt-financed e 7. Geometric mean preferred for long-horizon ERP; arithmetic for one period.
  7. Common-law countries, developed markets, stable currencies → lower cost of capital.
  8. Expanded CAPM uses peer beta; build-up uses no beta but adds IP.
  9. Transaction value > 10% of acquirer's EV (or cost savings > 10% of sales) is generally material.
  10. CCA suits spin-offs (no premium); CTA suits acquisitions (premium embedded).
  11. Spin-off generates no proceeds; sale proceeds can repay debt. Page 22 of 59
Subject 4 · 10 tables

4 Equity Valuation (91 formulas)

Readings: Equity Valuation: Applications and Processes · Discounted Dividend Valuation · Free Cash Flow Valuation · Market-Based Valuation: Price and Enterprise Value Multiples · Residual Income Valuation · Private Company Valuation

4.1 Perceived mispricing decomposition
IVanalyst − price = (IVactual − price) + (IVanalyst − IVactual)
WhereIV = intrinsic value · first bracket = actual mispricing · second bracket = valuation error
▸ Use / trapAnalyst's alpha opportunity only exists if the valuation error is small; perceived mispricing may be pure model error.
L1 → L2L2 splits perceived mispricing into true mispricing plus analyst valuation error.
4.2 Going concern vs liquidation value
Going concern value: firm continues to operate
Liquidation value = assets sold separately − liabilities
Orderly liquidation value: assets sold over time for better prices
WhereAll DDM/FCF/RI models assume going concern
▸ Use / trapUse liquidation value when survival cannot be assumed; orderly liquidation ≥ forced liquidation. R18 · Discounted Dividend Valuation
4.3 Definitions of value
Intrinsic value → most investment decisions
Fair market value → willing, informed, able buyer and seller
Investment value → value to a specific buyer (synergies)
WhereInvestment value relevant for acquisitions
▸ Use / trapExam signal: an acquirer with synergies → investment value; public stock selection → intrinsic value.
4.4 Equity valuation process (5 steps)
1. Understand the business → 2. Forecast performance → 3.
Select model → 4. Convert forecasts to valuation → 5. Apply
conclusions
WherePorter's five forces + generic strategies (cost leadership, differentiation, focus) feed step 1
▸ Use / trapQuality-of-earnings red flags (aggressive revenue, reclassified gains, off-BS items) are checked in step 1/2.
4.5 Sum-of-the-parts and conglomerate discount
Conglomerate discount = SOTP value − market value
WhereSOTP = breakup / private market value
▸ Use / trapThree explanations: internal capital inefficiency, endogenous factors (hiding poor performance), research measurement errors. 20 formulas
4.6 One-period DDM
D1 + P1
V0 =
(1 + r)
WhereD1 = dividend in 1 yr · P1 = expected price in 1 yr · r = required return on equity
▸ Use / trapBasic building block; price at end of horizon is itself PV of later dividends.
4.7 Two-period / multi-period DDM
D1 D + P2
V0 = + 2
(1 + r)1 (1 + r)2
D1 D2 D + Pn
V0 = 1
+ 2
+…+ n
(1 + r) (1 + r) (1 + r)n
WherePn = expected price at end of year n
▸ Use / trapUse calculator CF keys: CF0 = 0, last CF = Dn + Pn.
4.8 General (infinite-period) DDM
Dt
V0 = Σt=1∞
(1 + r)t
WhereDt = dividend at time t
▸ Use / trapTheoretically sound value = PV of all expected dividends; practical models impose a growth pattern. rbeiset.com · Mentored by Deepak Goyal — CFA, FRM · Noida ons and Processes R18 · Discounted Dividend Valuation rprise Value Multiples R21 · Residual Income Valuation 5 formulas
4.9 Gordon growth model (GGM)
D0 × (1 + g) D1
V0 = =
r−g r−g
WhereD0 = dividend just paid · D1 = next dividend · g = constant dividend growth (may be < 0) · requires g < r
▸ Use / trapTrap: always discount D1, not D0. Perpetual g above ~5% is suspect (cannot exceed real GDP growth + inflation).
4.10 Value of non-callable fixed-rate perpetual preferred
Dp
Vp =
rp
WhereDp = preferred dividend (no growth) · rp = cost of preferred equity
▸ Use / trapGGM with g = 0. Compute Dp = coupon rate × par first.
4.11 Implied growth and implied required return (GGM)
D0(1 + g)
P0 = → solve for g
r−g
D
implied g = r − 1
P0
D1
r= +g
P0
WhereP0 = current market price
▸ Use / trapMarket price assumed = intrinsic value. Compare implied g with sustainable g, or implied r with required r. Page 23 of 59
4.12 Present value of growth opportunities (PVGO)
E1
V0 = + PVGO
r
WhereE1 = earnings at t = 1 · E1/r = value of assets in place (no-growth perpetuity)
▸ Use / trapGrowth firms: large PVGO; utilities: small. PVGO < 0 when ROE < r. P/E from PVGO = PVGO / E1.
4.13 Leading P/E split: no-growth vs PVGO
P0 1 PVGO
leading P/E = = +
E1 r E1
Where1/r = no-growth P/E · PVGO/E1 = P/E component from growth
▸ Use / trapExample: Sf60, E1 = 5, r = 10% → PVGO = 10, P/E 12x of which 2x (16.7%) from PVGO.
4.14 Justified leading P/E (GGM)
P0 D /E 1−b
justified leading P/E = = 1 1 =
E1 r−g r−g
Whereb = retention ratio · (1 − b) = payout ratio · g = dividend growth rate
▸ Use / trapP0 here is fundamental value. P/E rises with payout and g, falls with r.
4.15 Justified trailing P/E (GGM)
P0 D × (1 + g)/E0
justified trailing P/E = = 0 =
E0 r−g
(1 − b) × (1 + g)
r−g
justified trailing P/E = justified leading P/E × (1 + g)
WhereE0 = current earnings
▸ Use / trapTrailing > leading by factor (1 + g) when earnings grow.
4.16 Required return via CAPM (as used in DDM examples)
r = Rf + β × [E(RM) − Rf]
r = Rf + (β × equity risk premium)
WhereRf = risk-free rate · β = beta · E(RM) − Rf = market (equity) risk premium
▸ Use / trapExample: 4% + 1.5 × (8% − 4%) = 10%. Trap: if given E(RM), subtract Rf; if given ERP, do not.
4.17 Required return via macroeconomic multifactor
model
r = Rf + Σ (factor risk premiumi × factor sensitivityi)
WhereFactor premiums and sensitivities given in vignette
▸ Use / trapExample: 0.04 + (0.048 × 0.63) + … = 15.27%. Negative premiums reduce r.
L1 → L2L2 tests alternative r estimates (CAPM, multifactor) feeding DDM/justified P/E.
4.18 Terminal value in multistage DDM
Dn × (1 + g) D
TVn = = n+1
r−g r−g
TVn = trailing P/E × En or leading P/E × En+1
Wheren = last year of high-growth period · g = long-run stable growth
▸ Use / trapTV is at time n; discount it n periods. Use gL, never gS, in the TV. rbeiset.com · Mentored by Deepak Goyal — CFA, FRM · Noida
4.19 Two-stage DDM
D0(1 + gS)t D × (1 + gS)n × (1 + gL)
V0 = [Σt=1n t
]+[ 0 ]
(1 + r) (1 + r)n × (r − gL)
WheregS = short-term growth · gL = long-term growth · n = length of high- growth period
▸ Use / trapUse for abrupt drop in growth (e.g., patent expiry). Timeline + CF keys is faster: CFn = Dn + Vn.
4.20 Non-dividend-paying firm
Vn D
V0 = , Vn = n+1 , Dn+1 = payout × En+1
(1 + r)n r−g
Wheren = year before dividends start
▸ Use / trapTwo-stage DDM with zero dividends in stage 1. Arena: E5 = 2.75, D5 = 0.55, V4 = 7.86, V0 = 5.00.
4.21 H-model
D0 × (1 + gL) D × H × (gS − gL)
V0 = + 0
r − gL r − gL
t
H=
2
WhereH = half-life (years) of high-growth period · t = length of high-growth period · gS = initial growth · gL = long-run growth
▸ Use / trapGrowth declines linearly. First term = value with no high growth. Approximation; more accurate for shorter t or smaller gS − gL.
L1 → L2New at L2: linear growth fade between stages.
4.22 Three-stage DDM with H-model final stages
[Dn × (1 + gL)] + [Dn × H(gS − gL)]
Vn =
r − gL
WhereStage 1 = constant high growth to n · stages 2–3 valued with H-model at time n
▸ Use / trapThen discount D1…Dn and Vn. Example: D3 = 0.75(1.12)3; V3 = 26.97; V0 = 23.21.
4.23 Implied required return – H-model
D0
r=[ × {(1 + gL) + [H × (gS − gL)]}] + gL
P0
WhereP0 = current price · H = t/2
▸ Use / trapClosed form; two-stage/three-stage implied r requires trial and error (start with the middle answer choice).
4.24 Sustainable growth rate (SGR)
SGR = g = b × ROE
b = 1 − dividend payout rate
Whereb = earnings retention rate · ROE = return on equity
▸ Use / trapAssumes constant D/E and no new equity. If actual g > SGR, firm must issue equity unless R, P, A or T rise. Page 24 of 59
4.25 DuPont ROE and PRAT model
net income net income sales
ROE = =( )×( )×
stockholders' equity sales total assets
total assets
( )
stockholders' equity
net income − dividends net income sales
g=( )×( )×( )
net income sales total assets
total assets
×( )
stockholders' equity
g=P×R×A×T
WhereP = profit margin · R = retention rate · A = asset turnover · T = financial leverage
▸ Use / trapUse beginning-of-year balance sheet values unless told otherwise. Halo: 0.10 × 0.6 × 1.8 × 1.25 = 13.5%. R19 · Free Cash Flow Valuation
4.26 Firm and equity value from free cash flow
firm value = FCFF discounted at the WACC
equity value = FCFE discounted at the required return on equity
equity value = firm value − market value of debt
WhereAdd significant nonoperating assets (excess cash, land held for investment) to firm value
▸ Use / trapMost common trap: wrong rate/cash-flow pairing. WACC on FCFE overstates equity; r on FCFF understates it.
4.27 FCFF from net income
FCFF = NI + NCC + [Int × (1 − tax rate)] − FCInv − WCInv
WhereNI = net income · NCC = noncash charges · Int = interest expense · FCInv = fixed capital investment · WCInv = working capital investment
▸ Use / trapAdd back after-tax interest only. Gains on asset sales are removed from NCC (handled in FCInv).
4.28 Fixed capital investment
FCInv = capital expenditures − proceeds from sales of long-term
assets
No asset sales: FCInv = ending net PP&E − beginning net PP&E
+ depreciation
With sales (capex not given): FCInv = ending net PP&E −
beginning net PP&E + depreciation − gain on sale (+ loss)
WherePP&E = property, plant and equipment
▸ Use / trapWith no sales, FCInv = change in gross PP&E.
4.29 Working capital investment
WCInv = change in working capital excluding cash, cash
equivalents, notes payable and current portion of LTD
e.g. WCInv = (AR + Inv − AP)t − (AR + Inv − AP)t−1
WhereAR = receivables · Inv = inventory · AP = payables
▸ Use / trapA decrease in working capital is a cash inflow (added back).
4.30 FCFF from CFO
FCFF = CFO + [Int × (1 − tax rate)] − FCInv
WhereCFO = cash flow from operations (US GAAP: interest paid in CFO)
▸ Use / trapCFO already includes NCC and WCInv, so do not subtract WCInv again. rbeiset.com · Mentored by Deepak Goyal — CFA, FRM · Noida 16 formulas
4.31 FCFF from EBIT
FCFF = [EBIT × (1 − tax rate)] + Dep − FCInv − WCInv
WhereEBIT = earnings before interest and taxes · Dep = depreciation
▸ Use / trapNo interest add-back needed: EBIT is pre-interest.
4.32 FCFF from EBITDA
FCFF = [EBITDA × (1 − tax rate)] + (Dep × tax rate) − FCInv −
WCInv
WhereDep × tax rate = depreciation tax shield
▸ Use / trapTrap: add back only the tax saving on depreciation, not full depreciation.
4.33 FCFE from FCFF
FCFE = FCFF − [Int × (1 − tax rate)] + net borrowing
net borrowing = LT & ST new debt issues − LT & ST debt
repayments
WhereNet borrowing = change in total (LT + ST) debt
▸ Use / trapChange in leverage affects FCFE (ST and LT effects partly offset) but not FCFF.
4.34 FCFE from NI and from CFO
FCFE = NI + NCC − FCInv − WCInv + net borrowing
FCFE = CFO − FCInv + net borrowing
WhereSame notation as FCFF
▸ Use / trapAfter-tax interest already deducted in NI and CFO, so no interest adjustment.
4.35 FCFF and FCFE with preferred stock
FCFF = NIcommon + NCC + [Int × (1 − tax rate)] + preferred
dividends − FCInv − WCInv
FCFE = FCFF − [Int × (1 − tax rate)] − preferred dividends + net
borrowing
equity value = firm value − MV debt − MV preferred
WhereNIcommon = net income available to common · net borrowing includes net preferred issuance
▸ Use / trapPreferred treated like debt but dividends not tax deductible; include preferred in WACC. Page 25 of 59
4.36 Uses of free cash flow (check)
Uses FCFF = changes in cash balances + net payments to debt
providers + net payments to equity stakeholders
Uses FCFE = changes in cash balances + net payments to equity
stakeholders
WhereSources must equal uses
▸ Use / trapDividends, repurchases and share issues are uses of FCF; they do not change FCFF or FCFE.
4.37 Forecast FCFE with target debt ratio
FCFE = NI − [(1 − DR) × (FCInv − Dep)] − [(1 − DR) × WCInv]
debt financing = DR × [(FCInv − Dep) + WCInv]
WhereDR = target debt-to-asset ratio for net new investment
▸ Use / trapEquity finances (1 − DR) of net capex and WCInv; avoids forecasting net borrowing explicitly.
L1 → L2L2 forecasting method: net borrowing implied by target DR.
4.38 WACC
WACC = (we × r) + [wd × rd × (1 − tax rate)]
MVE MVD
we = , wd =
MVE + MVD MVE + MVD
Wherer = required return on equity · rd = pretax cost of debt · MVE, MVD = market values of equity and debt
▸ Use / trapUse target weights if given. Convert D/E to weights: D/E 0.25 → wd = 20%. R20 · Market-Based Valuation: Price and Enterprise Valu
4.39 Single-stage FCFF model
FCFF1 FCFF0 × (1 + g)
value of the firm = =
WACC − g WACC − g
Whereg = constant growth of FCFF
▸ Use / trapSubtract MV of debt (and preferred) for equity. FCFF growth ≠ FCFE growth.
4.40 Single-stage FCFE model
FCFE1 FCFE0 × (1 + g)
value of equity = =
r−g r−g
Wherer = required return on equity · g = constant FCFE growth
▸ Use / trapFor international/high-inflation cases, use real r and real g consistently.
4.41 Multistage FCF terminal value
FCFFn+1 FCFEn+1
TVn = or
WACC − g r−g
TVn = (trailing P/E) × (earnings in year n)
TVn = (leading P/E) × (forecasted earnings in year n + 1)
Wheren = end of high-growth stage
▸ Use / trapIf stage discount rates differ, discount TV with the compounded stage rates, e.g. 1.203 × 1.153. ue Multiples 22 formulas
4.42 Trailing and leading P/E
market price per share
trailing P/E =
EPS over previous 12 months
market price per share
leading P/E =
forecasted EPS over next 12 months
WhereLeading = forward / prospective P/E
▸ Use / trapTrailing not useful if business changed (acquisition); leading not useful if earnings unforecastable.
4.43 Underlying (persistent) earnings
underlying EPS = reported EPS − nonrecurring gains +
nonrecurring losses
WhereExclude nonrecurring items; use diluted EPS
▸ Use / trapMagnolia: 5.50 − 0.30 + 0.55 = 5.75.
4.44 Normalized EPS (cyclical firms)
historical average EPS over the cycle
average ROE method: normalized EPS = average ROE × current
BVPS
WhereBVPS = book value per share
▸ Use / trapAverage ROE method preferred: reflects current firm size. Molodovsky effect: P/E high at cycle trough.
4.45 Earnings yield
EPS
E/P = (inverse P/E)
price
WhereUse when EPS is zero/negative
▸ Use / trapRank by E/P when P/E is meaningless; high E/P = cheap. rbeiset.com · Mentored by Deepak Goyal — CFA, FRM · Noida
4.46 P/B ratio and book value
market value of equity market price per share
P/B ratio = =
book value of equity book value per share
book value of equity = common shareholders' equity = (total
assets − total liabilities) − preferred stock
tangible book value = book value of equity − intangible assets
WhereAdjust BV for off-BS items, fair value and FIFO/LIFO comparability
▸ Use / trapUseful for financials and negative EPS; misleading for asset- light/outsourcing firms.
4.47 P/S ratio
market value of equity market price per share
P/S ratio = =
total sales sales per share
WhereUses trailing sales
▸ Use / trapWorks for distressed/start-up firms; ignores cost structure; watch bill-and-hold revenue.
4.48 P/CF ratio and cash flow definitions
market value of equity market price per share
P/CF ratio = =
cash flow cash flow per share
cash flow = CF, adjusted CFO, FCFE, or EBITDA
CF = net income + depreciation + amortization
WhereAdjusted CFO = CFO adjusted for nonrecurring items · FCFE = CFO − FCInv + net borrowing
▸ Use / trapEPS + noncash charges ignores WC changes and noncash revenue. EBITDA belongs with EV, not price. Page 26 of 59
4.49 Dividend yield
4 × most recent quarterly dividend
trailing D/P =
market price per share
forecasted dividends over next four quarters
leading D/P =
market price per share
WhereD/P = dividend yield
▸ Use / trapMostly used for indexes; ignores capital appreciation (dividend displacement of earnings).
4.50 Justified P/E (forecasted fundamentals)
P0 D × (1 + g)/E0
justified trailing P/E = = 0 =
E0 r−g
(1 − b) × (1 + g)
r−g
P0 D /E 1−b
justified leading P/E = = 1 1 =
E1 r−g r−g
Whereb = retention ratio
▸ Use / trapActual P/E > justified → overvalued. P/E ↑ with g, ↓ with r; inflation pass-through matters.
4.51 Justified P/B
ROE − g
justified P/B ratio =
r−g
WhereROE = return on equity · g = b × ROE · E1 = B0 × ROE
▸ Use / trapP/B rises with ROE and with ROE − r spread. ROE 14%, r 8%, g 4% → 2.5.
L1 → L2Links directly to the residual income model.
4.52 Justified P/S
P0 (E0/S0) × (1 − b) × (1 + g)
justified = = net profit margin ×
S0 r−g
justified trailing P/E
sales
g = retention ratio × net profit margin × ( )×(
assets
assets
)
shareholders' equity
WhereE0/S0 = PM0 = net profit margin
▸ Use / trapMargin raises P/S directly and indirectly through g.
4.53 Justified P/CF
FCFE0 × (1 + g)
V0 = → justified P/CF = V0 / chosen cash flow
r−g
WhereUses single-stage FCFE value
▸ Use / trapP/CF ↑ when r ↓ or g ↑. Justified EV/EBITDA ↑ with FCFF/EBITDA growth, ↓ with WACC.
4.54 Justified dividend yield
r−g
D0/P0 =
1+g
WhereFrom GGM
▸ Use / trapD/P ↑ with r, ↓ with g → high-yield screens reflect a value (not growth) strategy. rbeiset.com · Mentored by Deepak Goyal — CFA, FRM · Noida
4.55 Predicted P/E from cross-sectional regression
predicted P/E = b0 + (b1 × payout) + (b2 × growth) − (b3 × beta)
e.g. 6.75 + (4.00 × 0.50) + (12.35 × 0.06) − (0.5 × 0.95) = 9.02
WhereCoefficients from regression of P/Es on fundamentals
▸ Use / trapActual P/E 12 > 9.02 → overpriced. Limits: uncertain predictive power, unstable relationships, multicollinearity.
4.56 Fed model
Market overvalued if S&P 500 E/P < 10-year T-bond yield
undervalued if E/P > 10-year T-bond yield
WhereE/P = earnings yield of index
▸ Use / trapIgnores growth and inflation differences; Yardeni adds growth.
4.57 Yardeni model
CEY = CBY − k × LTEG + εi
P 1
=
E CBY − k × LTEG
WhereCEY = current earnings yield of market · CBY = Moody's A-rated corporate bond yield · LTEG = 5-yr consensus earnings growth · k ≈ 0.20
▸ Use / trapP/E falls with interest rates, rises with growth.
4.58 PEG ratio
P/E ratio
PEG ratio =
g
Whereg = expected growth in whole percent (e.g., 14.5)
▸ Use / trapLower PEG more attractive (similar risk). Drawbacks: P/E–g nonlinear, ignores risk, ignores growth duration.
4.59 Terminal value using multiples
TVn = justified leading P/E × forecast En+1
TVn = justified trailing P/E × forecast En
(or benchmark P/E × same earnings)
Wheren = terminal year
▸ Use / trapComparables-based TV relies on market data but inherits benchmark mispricing.
4.60 Enterprise value and EV/EBITDA
EV = MV common + MV preferred + MV debt + minority
interest − cash and investments
enterprise value
EV/EBITDA ratio =
EBITDA
EBITDA = recurring earnings from continuing ops + interest +
taxes + D + A
WhereD = depreciation · A = amortization
▸ Use / trapUse for different leverage, capital-intensive firms, negative EPS. Lower EV/EBITDA → relatively undervalued. Boulevard 647.7/250.7 = 2.6x.
4.61 Total invested capital (TIC)
TIC = MV of equity + MV of debt (cash not deducted)
WhereAlso called market value of invested capital
▸ Use / trapUnlike EV, TIC includes cash and ST investments. EV/S suits firms with different capital structures. Page 27 of 59
4.62 Earnings surprise and SUE
earnings surprise = reported EPS − expected EPS
earnings surprise
SUE =
standard deviation of earnings surprise
WhereSUE = standardized unexpected earnings
▸ Use / trapMomentum indicators; a given surprise matters more when historical forecast errors are small. Also relative strength. R21 · Residual Income Valuation
4.63 Central tendency of multiples
1
weighted harmonic mean = wi
Σi=1n
Xi
n
harmonic mean =
Σ (1/Xi)
WhereXi = multiple of stock i · wi = portfolio weight
▸ Use / trapIndex/portfolio P/E = weighted harmonic mean (e.g., 8.67). Arithmetic mean most hurt by large outliers; HM weights small values. 14 formulas
4.64 Residual income (equity charge approach)
equity charge = equity capital × cost of equity
RI = net income − equity charge
WhereCost of equity = required return on equity
▸ Use / trapPositive NI can still mean negative RI (MFS: 80.52m − 98.4m = −17.88m).
4.65 Economic value added (EVA)
EVA = NOPAT − (WACC × total capital) = [EBIT × (1 − t)] −
$WACC
NOPAT = EBIT × (1 − t) = (sales − COGS − SGA − dep) × (1 −
t)
$WACC = WACC × total capital
total capital = net working capital + net fixed assets = BV of LT
debt + BV of equity
Wheret = marginal tax rate · $WACC = dollar cost of capital
▸ Use / trapUse beginning-of-year capital. Adjust: capitalize R&D, cash taxes only, leases as capital, add LIFO reserve.
4.66 Market value added (MVA)
MVA = market value − total capital
WhereMarket value = MV of LT debt + MV of equity
▸ Use / trapUses end-of-year capital. VBM: EVA = 2,100 − 0.142 × 18,000 = −456; MVA = 24,000 − 21,000 = 3,000.
4.67 Residual income per share
RIt = Et − (r × Bt−1) = (ROE − r) × Bt−1
WhereEt = expected EPS year t · r = required return on equity · Bt−1 = beginning book value per share · ROE = expected return on new investments
▸ Use / trapEquity charge uses BEGINNING book value.
4.68 Clean surplus relation
Bt = Bt−1 + Et − Dt
WhereDt = dividends (excluding ownership transactions)
▸ Use / trapForecast ending BV. Violated by items bypassing income (CTA, AFS gains, some pension/hedging, IFRS revaluation).
4.69 Residual income model (general)
RI1 RI2 RI3
V0 = B0 + { 1 + 2 + + …}
(1 + r) (1 + r) (1 + r)3
WhereB0 = current book value of equity
▸ Use / trapValue recognized earlier than DDM/FCFE; less sensitive to terminal value. CF keys: CF0 = B0. rbeiset.com · Mentored by Deepak Goyal — CFA, FRM · Noida
4.70 Single-stage (constant-growth) RI model
(ROE − r) × B0
V0 = B0 + [ ]
r−g
Whereg = constant growth (g = b × ROE)
▸ Use / trapEquals GGM value with consistent inputs. Second term = PV of economic profits. ROE = r → V0 = B0.
4.71 Implied P/B from RI
ROE − r
V0/B0 = 1 +
r−g
ROE − g
justified P/B =
r−g
ROE = [(justified P/B) × (r − g)] + g
WhereP/B > 1 iff ROE > r
▸ Use / trapRearrange to back out implied ROE from observed P/B.
4.72 Implied growth rate in RI
B0 × (ROE − r)
g=r−[ ]
V0 − B0
WhereV0 = market price (P/B × B0)
▸ Use / trapTellis: P/B 2.5, B0 8, ROE 13%, r 11% → g = 9.67%.
4.73 Tobin's Q
market value of debt + market value of equity
Q=
replacement cost of total assets
WhereUses replacement cost, not book value
▸ Use / trapRelated concept to P/B.
4.74 Multistage RI model
V0 = B0 + (PV of interim high-growth RI) + (PV of continuing
residual income)
WhereInterim RI for years 1 to T − 1; continuing RI begins in year T
▸ Use / trapDiscount continuing RI (valued at T − 1) back T − 1 periods.
4.75 Continuing RI with persistence factor
RIT
PV of continuing residual income in year T − 1 =
1+r−ω
Whereω = persistence factor, 0 ≤ ω ≤ 1 · RIT = RI in first continuing year
▸ Use / trapHigher ω: low payout, historically persistent industry RI. Lower ω: high ROE, big nonrecurring items, high accruals.
L1 → L2New at L2: persistence factor ω for fading economic profit. Page 28 of 59
4.76 Continuing RI special cases
RIT RIT
ω = 1 (persists forever): =
1+r−1 r
RIT RIT
ω = 0 (drops to zero after T): =
1+r−0 1+r
RIT
0 < ω < 1 (declines as ROE → r):
1+r−ω
WhereAll valued at end of year T − 1
▸ Use / trapJava Metals: ω = 0 → 6.25; ω = 1 → 8.98; ω = 0.4 → 6.40. Lower ω → lower value. R22 · Private Company Valuation
4.77 Continuing RI via terminal P/B
PV of continuing residual income in year T = PT − BT
PT = BT × (forecasted price-to-book ratio)
PV of continuing residual income in year T − 1 =
(PT − BT) + RIT
1+r
WhereUsed when RI declines to a mature-industry long-run level
▸ Use / trapJava: (12.06 − 10.05 + 0.44)/1.10 = 2.23; V0 = 7.50. Market > model → overvalued. 14 formulas
4.78 Normalized earnings (private firm)
normalized earnings = reported earnings ± adjustments: owner
compensation to market, related-party leases to market rate,
remove nonoperating assets' income/expense
Strategic buyer: + synergies (revenue gains or cost savings)
WhereNormalized = firm earnings if the firm were acquired
▸ Use / trapArbutus: SG&A −1.5m (comp), +30k (lease), −150k SG&A and −25k dep (vacant building). Synergies only for strategic buyer.
4.79 Pro forma FCFF for private firm
FCFF = EBIT × (1 − t) + D&A − capital expenditures − increase
in working capital
capex = depreciation + (capex % × incremental revenue)
ΔWC = WC % of sales × (revenue1 − revenue0)
WhereD&A = depreciation and amortization
▸ Use / trapFCFF preferred when capital structure will change (WACC less sensitive to leverage). Example FCFF = 2,408,800.
4.80 Unlevered (asset) beta from public comparable
βpublic
βunlevered = D
[1 + (1 − t)( )]
E
Wheret, D/E = comparable public company's tax rate and debt-to-equity
▸ Use / trapRemoves comparable's financial leverage.
4.81 Relevered private company beta
D
βprivate company = βunlevered[1 + (1 − t*)( )*]
E
Wheret* = subject private firm's tax rate · (D/E)* = subject firm's (target/optimal) leverage
▸ Use / trapThen use in CAPM; expanded CAPM adds size and firm-specific premiums.
4.82 CAPM, expanded CAPM, build-up method
CAPM: required return = Rf + (β × ERP)
Expanded CAPM: Rf + (β × ERP) + size premium + firm-
specific premium
Build-up: Rf + ERP + industry premium + size premium +
company-specific premium
WhereERP = equity risk premium · build-up assumes β = 1
▸ Use / trap3.6% + 1.3(6%) = 11.4%; expanded 16.4%; build-up 15.6%. Build-up when no public comparables. rbeiset.com · Mentored by Deepak Goyal — CFA, FRM · Noida
4.83 Private firm WACC
WACC = (we × re) + [wd × rd × (1 − tax rate)]
WhereUse target's own optimal capital structure weights
▸ Use / trapNot acquirer's WACC, not public-industry weights. Optimal: (0.88 × 16%) + [0.12 × 9% × 0.7] = 14.8%.
4.84 Discount for lack of control (DLOC)
1
DLOC = 1 − [ ]
1 + control premium
WhereControl premium from public takeover transactions
▸ Use / trapControl premium 25% → DLOC = 20%.
4.85 Total discount (DLOC and DLOM)
total discount = 1 − [(1 − DLOC)(1 − DLOM)]
WhereDLOM = discount for lack of marketability
▸ Use / trapMultiplicative, not additive: 20% and 13% → 30.4% (not 33%).
4.86 DLOM estimation methods
1. Restricted share price vs public share price
2. Pre-IPO price vs post-IPO price
value of ATM put on comparable public company
3. DLOM =
stock price
WherePut maturity = time to IPO/sale; volatility from comparable
▸ Use / trapDLOM ↓: impending IPO/sale, larger buyer pool. DLOM ↑: contractual restrictions, ownership concentration.
4.87 Capitalized cash flow method (CCM)
FCFF1
value of the firm =
WACC − g
EBIT1(1 − T)(1 − b)
value of the firm =
WACC − g
FCFE1
value of equity =
r−g
WhereFCFF1 = next-year FCFF · g = sustainable growth · T = tax rate · b = reinvestment rate · r − g = capitalization rate
▸ Use / trapSingle-stage growing perpetuity for small, stable-growth firms with no comparables. Equity = firm value − MV debt.
4.88 Reinvestment rate (CCM)
b = g / WACC
Whereb = reinvestment (retention) rate
▸ Use / trapAfter-tax EBIT × (1 − b) proxies for FCFF. Page 29 of 59
4.89 Excess earnings method (EEM)
excess earnings = normalized earnings − (rWC × WC) − (rFA ×
FA)
excess earnings × (1 + g)
value of intangible assets =
rintangibles − g
firm value = working capital + fixed assets + intangible assets
WhererWC, rFA = required returns on working capital and fixed assets · g = growth of residual (excess) income
▸ Use / trapFor small firms with significant intangibles. Example: 300k + 1,000k + 140k = 1.44m. FCFF may replace normalized earnings. rbeiset.com · Mentored by Deepak Goyal — CFA, FRM · Noida
4.90 Guideline public company method (GPCM)
weighted average EV multiple = ΣWi multiple
EV = normalized EBITDA × EV/EBITDA
Wherei = industry · Wi = weight of industry i in subject's revenues
▸ Use / trapPublic multiples are minority basis: add control premium for controlling interest. Rensselaer: 1.28 × 12.80 = 16.38m.
4.91 Guideline transactions method (GTM)
adjusted multiple = average EV/EBITDA × (1 − risk adjustment)
EV = adjusted multiple × normalized EBITDA
WhereMultiples from acquisitions of entire companies
▸ Use / trapAlready includes control premium. Lafayette: 7.2 × (1 − 0.30) = 5.0; × 18.2m = 91m. Watch contingent and stock consideration. Page 30 of 59 COMPARISON TABLES & FRAMEWORKS Which cash flow measure? Dividends vs FCF vs RI Use when Dividends (DDM) Free cash flow Dividend history Has dividend history None, or unrelated to Link to profitability Policy clear, tied to earnings FCF tracks profitabili Perspective Minority shareholder Controlling sharehold Main weakness Hard for non-payers Negative FCF in heav Life-cycle phase and DDM choice Variable Initial growth Tra Earnings growth Very high Abo Capital investment Significant requirements Dec Profit margin High Abo FCFE Negative Ma ROE vs r ROE > r RO Dividend payout Low or zero Inc Appropriate model Three-stage Two FCFF vs FCFE Item FCFF FCFE Discount rate WACC Required return on equity Gives Firm value (− MV debt = Equity value directly equity) Best when Negative FCFE, high debt, Stable capital changing leverage structure Interest Add back Int × (1 − t) Already deducted Net borrowing Not included Added Change in leverage No effect ST and LT effects partially offset Dividends / No effect No effect repurchases / issues Price multiples: pros and cons Multiple Advantages P/E Earnings drive value; popular; explains returns P/B Usually positive; stable; suits financials, liquidation P/S Always positive; hard to manipulate; less volatile P/CF Harder to manipulate; more stable than P/E D/P Part of total return; dividends less risky EV/EBITDA Different leverage; capital-intensive; EPS negative Fundamental drivers of justified multiples Multiple Rises with Falls with P/E Payout, growth Required return P/B ROE, ROE − r spread, growth Required return P/S Profit margin, growth Required return P/CF Growth Required return EV/EBITDA FCFF/EBITDA growth WACC, risk D/P Required return Growth Private company valuation approaches Approach Methods Income FCF (two-stage), CCM (single-stage), excess earnings Market GPCM, GTM, prior transaction Asset-based Assets − liabilities Private company required return models Model Build CAPM Rf + β × ERP Expanded CAPM CAPM + size + firm-specific Build-up Rf + ERP + industry + size + company-specific rbeiset.com · Mentored by Deepak Goyal — CFA, FRM · Noida Residual income o earnings No dividend history lity Negative FCF foreseeable der (or in-play) Either; needs transparent, high-quality reporting avy-capex years Accrual/accounting manipulation; clean surplus ansition Maturity bove average but falling Stable at long-run level ecreasing Stable at long-run level bove average but falling Stable at long-run level ay be positive, growing Stable at long-run level OE approaching r ROE = r creasing Stable at long-run level wo-stage Gordon growth Effect of financing decisions on free cash flow Decision FCFF FCFE Dividends None None Share repurchase None None Share issue None None Change in leverage None ST & LT effects partially offset Disadvantages Negative EPS; transitory earnings; accounting discretion Ignores intangibles; asset-size and accounting differences Ignores costs/profit; revenue recognition games EPS + NCC ignores WC; FCFE volatile Ignores capital gains; dividend displacement Overstates CFO if WC grows; ignores capex Continuing residual income assumptions Assumption ω PV at T − 1 Persists at current level ω=1 RIT / r Drops to zero ω=0 RIT / (1 + r) Declines as ROE → r 0<ω<1 RIT / (1 + r − ω) Mature long-run level n/a (use P/B) [(PT − BT) + RIT] / (1 + r) Best for High-growth firms (FCF); small stable firms (CCM) Mature firms Early-stage or distressed firms Use when Comparable public betas exist Small, undiversified firm with public comparable No comparable public firms (β = 1) Page 31 of 59 GPCM vs GTM Item GPCM Data Public company trading multiples Control premium Must be added for controlling interest Key issues Transaction type, industry conditions, consideration, reasona ★ Exam signals & key rules — Equity Valuation 1. Always pair FCFF with WACC (firm value) and FCFE/dividends with r (equity value). 2. Discount D1, FCFF1, FCFE1 (next period), never the just-paid amount. 3. Terminal value sits at end of year n (or T − 1 for continuing RI); discount it the right number of periods. 4. Market price > model value → overvalued; actual multiple > justified/benchmark multiple → overvalued. 1 5. Justified trailing P/E = justified leading P/E × (1 + g). 1 6. 'Growth declines linearly' → H-model; 'patent expires / abrupt drop' → two- stage DDM. 1 rbeiset.com · Mentored by Deepak Goyal — CFA, FRM · Noida GTM Acquisition prices of whole companies Already included ableness Transaction type, contingent and type of consideration y 7. 'No dividends, negative FCF, transparent accounting' → residual income model. 8. 'Controlling interest / acquirer / in-play' → FCF; 'minority, stable payout' → DDM. 9. RI equity charge uses beginning book value; EVA uses beginning capital; MVA uses end-of-year capital. 10. DLOC and DLOM combine multiplicatively: 1 − (1 − DLOC)(1 − DLOM). 11. Use target's own WACC and optimal capital structure when valuing a private acquisition. 12. Index/portfolio P/E = weighted harmonic mean of constituent P/Es. Page 32 of 59 05 Fixed Income 68 formulas C FA L E V E L I I 2 0 2 7 · S U B J E C T 0 5 15 tables 12 exam rules R23 · The Term Structure and Int R25 · Valuation and Analysis of Bonds with Embedded Options R26 · Credit An R23 · The Term Structure and Interest Rate Dynamics

★ Exam signals & key rules — Equity Valuation

  1. Always pair FCFF with WACC (firm value) and FCFE/dividends with r (equity value).
  2. Discount D1, FCFF1, FCFE1 (next period), never the just-paid amount.
  3. Terminal value sits at end of year n (or T − 1 for continuing RI); discount it the right number of periods.
  4. Market price > model value → overvalued; actual multiple > justified/benchmark multiple → overvalued. 1
  5. Justified trailing P/E = justified leading P/E × (1 + g). 1
  6. 'Growth declines linearly' → H-model; 'patent expires / abrupt drop' → two- stage DDM. 1 rbeiset.com · Mentored by Deepak Goyal — CFA, FRM · Noida 04 · Equity Valuation GTM Acquisition prices of whole companies Already included ableness Transaction type, contingent and type of consideration y 7. 'No dividends, negative FCF, transparent accounting' → residual income model.
  7. 'Controlling interest / acquirer / in-play' → FCF; 'minority, stable payout' → DDM.
  8. RI equity charge uses beginning book value; EVA uses beginning capital; MVA uses end-of-year capital.
  9. DLOC and DLOM combine multiplicatively: 1 − (1 − DLOC)(1 − DLOM).
  10. Use target's own WACC and optimal capital structure when valuing a private acquisition.
  11. Index/portfolio P/E = weighted harmonic mean of constituent P/Es. Page 32 of 59
Subject 5 · 15 tables

5 Fixed Income (68 formulas)

Readings: The Term Structure and Interest Rate Dynamics · The Arbitrage-Free Valuation Framework · Valuation and Analysis of Bonds with Embedded Options · Credit Analysis Models · Credit Default Swaps

5.1 Discount factor & spot rate
1
PT =
(1 + ST)T
WherePT = price today of $1 par zero-coupon bond (discount factor) · ST = T-period spot (zero-coupon) rate
▸ Use / trapSpot rate = YTM of a zero. The graph of ST vs T is the spot curve.
5.2 Forward price of a zero (notation)
1
F(j,k) =
[1 + f(j,k)]k
Wheref(j,k) = annualized rate on a k-year loan starting in j years · F(j,k) = forward price of $1 par zero maturing at j+k, delivered at time j
▸ Use / trapLearn the (j,k) notation: j = start date, k = tenor of the forward loan.
L1 → L2L2 uses f(j,k) start/tenor notation and forward prices of zeros.
5.3 Valuing a coupon bond with spot rates
CF1 CF2 CFT
Price = + +…+
(1 + S1) (1 + S2)2 (1 + ST)T
WhereCFt = coupon (and par at T) · St = spot rate for t
▸ Use / trapArbitrage-free value of an option-free bond. YTM is a weighted average of spot rates, closest to ST (par dominates).
5.4 Forward pricing model
P(j+k) = PjF(j,k)
P
F(j,k) = (j+k)
Pj
WherePj, P(j+k) = discount factors for j and j+k
▸ Use / trapArbitrage: buying a (j+k) zero = buying a j-year forward on a k- year zero. Same answer as FV of P(j+k) at Sj for j periods.
5.5 Forward rate model
[1 + S(j+k)](j+k) = (1 + Sj)j[1 + f(j,k)]k
[1 + f(j,k)]k = [1 + S(j+k)](j+k) / (1 + Sj)j
WhereS = spot rates · f(j,k) = k-year forward rate starting in j years
▸ Use / trapIndifference between long zero and short zero rolled at f(j,k). Upward-sloping spot curve ⇒ f(j,k) > S(j+k); reverse if downward sloping.
5.6 Spot rate as geometric mean of forwards
(1 + ST)T = (1 + S1)[1 + f(1,T − 1)](T − 1)
(1 + ST)T = (1 + S1)[1 + f(1,1)][1 + f(2,1)][1 + f(3,1)] … [1 + f(T
− 1,1)]
WhereS1 = one-period spot · f(t,1) = one-year forward rates
▸ Use / trapLong spot rate = geometric mean of the one-period spot and successive one-year forwards. Used to derive spots from forwards (e.g., Z- spread example). rbeiset.com · Mentored by Deepak Goyal — CFA, FRM · Noida nterest Rate Dynamics R24 · The Arbitrage-Free Valuation Framework Analysis Models R27 · Credit Default Swaps 18 formulas
5.7 Bootstrapping spot rates from par curve
PMT PMT 100 + PMT
100 = + 2
+…+
(1 + S1) (1 + S2) (1 + ST)T
WherePMT = par rate × 100 (par bond, coupon = par rate) · S1 = 1-year par rate (annual pay)
▸ Use / trapSolve one spot at a time using earlier spots. E.g., par 1%, 1.25%, 1.50% ⇒ S2 = 1.252%, S3 = 1.51%.
5.8 Holding-period return (spot rates evolve as forwards
predict)
P1
HPR = −1
P0
WhereP0 = price today · P1 = price in one year using expected (= forward) spot rates
▸ Use / trapIf future spots equal today's forwards, every maturity earns the one-year spot rate. Expect lower spots than forwards ⇒ bonds undervalued, buy.
5.9 Swap fixed rate from spot curve
SFRT 1
Σt=1T + =1
(1 + St)t (1 + ST)T
WhereSFRT = swap fixed rate for tenor T · St = MRR spot rates
▸ Use / trapSFR = coupon rate of a $1 par bond on the MRR spot curve. Spots 3/4/5% ⇒ SFR1,2,3 = 3.00%, 3.98%, 4.93%.
L1 → L2Swap curve as benchmark (MRR replaces LIBOR); swap rate derived from spot rates.
5.10 Swap spread
swap spreadt = swap ratet − Treasury yieldt
Whereboth for same maturity t (on-the-run government bond)
▸ Use / trapAlmost always positive (bank vs government credit). For a default-free bond, signals illiquidity and/or mispricing, not time value.
5.11 I-spread (with linear interpolation)
I-spread = yield on the bond − swap rate
interpolated rate = lower-bound rate +
(yearsinterp − yearslower)(upper rate − lower rate)
(yearsupper − yearslower)
Whereswap rate for same maturity, interpolated from swap curve if missing
▸ Use / trapReflects compensation for credit and liquidity risk only (not time value). E.g., 1.6-yr swap = 1.35 + 0.10(1.50 − 1.35)/0.50 = 1.38%.
5.12 Z-spread
CF1 CF2 CFT
P= + +…+
(1 + S1 + Z) (1 + S2 + Z)2 (1 + ST + Z)T
WhereP = market price · St = default-free spot rates · Z = constant spread over entire spot curve
▸ Use / trapZero-volatility spread. Not appropriate for bonds with embedded options: it includes the option cost. Page 33 of 59
5.13 TED spread
TED spread = (3-month MRR) − (3-month T-bill rate)
WhereMRR = market reference rate · T-bill = risk-free
▸ Use / trapGauge of credit and liquidity risk in the banking sector. Rising TED ⇒ greater perceived bank default risk.
5.14 MRR-OIS spread
MRR-OIS spread = MRR − “overnight indexed swap” rate
WhereOIS ≈ fed funds-type overnight rate with minimal credit risk
▸ Use / trapFormerly LIBOR-OIS. Indicates credit and liquidity risk in the banking system.
5.15 Key rate durations model
ΔP
≈ −D1Δr1 − D5Δr5 − D25Δr25
P
WhereDk = key rate duration at maturity k · Δrk = change in that par rate
▸ Use / trapSensitivity to one par rate, others held constant. Sum of key rate durations = effective duration. Use for shaping (non-parallel) risk. R24 · The Arbitrage-Free Valuation Framework
5.16 Level, steepness, curvature model
ΔP
≈ −DLΔxL − DSΔxS − DCΔxC
P
WhereDL, DS, DC = sensitivities to level, steepness, curvature · Δx = factor changes
▸ Use / trapWatch signs: −4(−0.004) − 5(0.001) − 3(0.002) = +0.005 (+0.5%). Steepness = long up, short down; curvature = short & long up, middle unchanged.
5.17 Interest rate volatility notation
σ(t,T)
Whereannualized standard deviation of change in yield at time t for maturity T
▸ Use / trapShort rates usually more volatile (monetary policy); long-end volatility linked to real economy and inflation.
5.18 Bond risk premium
bond risk premium = expected one-year HPR on long-term
government bond − one-year risk-free rate
Wherealso called term premium or duration premium
▸ Use / trapForward-looking. Example: 5-yr bond expected HPR 4%, 1-yr risk-free 1% ⇒ premium 3%. 10 formulas
5.19 Adjacent rates in a binomial tree
i1,U = i1,Le2σ
i2,LU = i2,LLe2σ
i2,UU = i2,LLe4σ
Wherei = one-period forward rate at node · σ = interest rate volatility · e ≈ 2.7183
▸ Use / trapAdjacent rates are two standard deviations apart. Lognormal model: non-negative rates, higher volatility at higher rates. i2,LU = i2,UL (lattice).
L1 → L2Binomial interest rate tree is new at L2.
5.20 Tree calibration (lower/middle node)
i1,L = i1,Ue−2σ
middle rate ≈ implied one-period forward, e.g. (1 + S3)3 = (1 +
S2)2(1 + f(2,1))
Whereσ = assumed volatility · S = benchmark spot rates
▸ Use / trapCalibrated tree must value benchmark bonds at market prices (arbitrage-free). Example: 5.7883% × e−0.40 = 3.88%.
5.21 Backward induction: value at a node
1 V +C V +C
V= ×[ U + L ]
2 1+i 1+i
WhereVU, VL = values at the two next-period nodes · C = coupon · i = one- period forward rate at the node being valued
▸ Use / trapAverage of the PVs of the two possible next-period values (prob 50/50). Discount at the rate of the node you are at, not the next node.
5.22 Arbitrage-free value of option-free bond
C C C + Par
Bond value = + +
(1 + S1) (1 + S2)2 (1 + S3)3
WhereSt = benchmark spot rates
▸ Use / trapCalibrated tree gives the same value as spot-rate pricing for option-free bonds (e.g., $94.485 both ways). rbeiset.com · Mentored by Deepak Goyal — CFA, FRM · Noida
5.23 Pathwise valuation
number of paths = 2(n−1)
C C C + Par
valuepath = + +
(1 + r1) (1 + r1)(1 + r2) (1 + r1)(1 + r2)(1 + r3)
bond value = average of path values
Wheren = periods in tree · rt = one-period forward rates along the path
▸ Use / trapSame answer as backward induction. Only valid paths (UU, UD, DU, DD); a path jumping non-adjacent nodes is invalid.
5.24 Monte Carlo forward-rate simulation
value = average of values over many simulated (drift-adjusted)
rate paths
Wherepaths generated with assumed volatility and probability distribution
▸ Use / trapUsed for path-dependent cash flows (MBS). Calibrate by adding a constant to all rates (drift adjustment). More paths ⇒ statistical accuracy, not necessarily true value.
5.25 Cox-Ingersoll-Ross (CIR) model
drt = a(b − r)dt + σ√r dz
Wherea = speed of mean reversion · b = long-run value of short rate · r = short rate · σ = volatility · dz = random walk movement
▸ Use / trapEquilibrium, single-factor, mean-reverting. Volatility rises with r; rates non-negative.
5.26 Vasicek model
drt = a(b − r)dt + σdz
Whereas for CIR; no r in the random term
▸ Use / trapEquilibrium, mean-reverting, constant volatility. Main drawback: rates can be negative.
5.27 Ho-Lee model
drt = θtdt + σdzt
Whereθt = time-dependent drift term
▸ Use / trapArbitrage-free: θt calibrated to market prices. Constant volatility, normal distribution, rates can be negative. Page 34 of 59
5.28 Kalotay-Williams-Fabozzi (KWF) model
dln(rt) = θtdt + σdz
Whereθt = time-dependent drift
▸ Use / trapLike Ho-Lee (no mean reversion, constant volatility) but short rate is lognormal ⇒ non-negative. R25 · Valuation and Analysis of Bonds with Embedded O
5.29 Embedded call value
Vcall = Vstraight − Vcallable
WhereVstraight = option-free bond value
▸ Use / trapCallable bondholder = long straight bond + short call.
5.30 Putable bond & embedded put value
Vputable = Vstraight + Vput
Vput = Vputable − Vstraight
WhereVput = value of embedded put
▸ Use / trapPutable bondholder = long straight bond + long put. Extendible bond = putable bond with the longer maturity.
5.31 Call rule / put rule at a node
callable node value = min(call price, computed value)
putable node value = max(put price, computed value)
Whereapplied only at nodes where exercise is allowed (European/American/Bermudan)
▸ Use / trapExample (7%, 2-yr, call/put at 100): straight 102.999, callable 102.238 (call 0.76), putable 103.081 (put 0.082).
5.32 Option-adjusted spread (OAS)
Market price = tree value when OAS is added to every one-
period rate (after call/put rule adjustments)
WhereOAS = constant spread added to benchmark tree rates
▸ Use / trapRemoves option risk; reflects credit (and liquidity). Higher OAS than peers ⇒ undervalued. Example: 100 bps brings $101.77 to $99.95.
5.33 Effective duration
BV−Δy − BV+Δy
ED =
2 × BV0 × Δy
WhereΔy = change in required yield (decimal) · BV−Δy, BV+Δy = prices if yield falls/rises by Δy · BV0 = initial price
▸ Use / trapUse for bonds with embedded options. Compute BV±Δy by shifting the benchmark curve, rebuilding the tree and adding the constant OAS.
L1 → L2BV±Δy now come from a re-built binomial tree holding OAS constant.
5.34 Effective convexity
BV−Δy + BV+Δy − (2 × BV0)
EC =
BV0 × Δy2
Whereas for effective duration
▸ Use / trapTrap: no “2” in the denominator. Callable bonds have negative convexity at low rates; straight and putable bonds positive throughout. rbeiset.com · Mentored by Deepak Goyal — CFA, FRM · Noida Options 17 formulas
5.35 Effective duration comparisons
ED(callable) ≤ ED(straight)
ED(putable) ≤ ED(straight)
ED(zero-coupon) ≈ maturity
ED(fixed-rate coupon bond) < maturity
ED(floater) ≈ time (in years) to next reset
WhereED = effective duration
▸ Use / trapRates up ⇒ ED of callable rises, ED of putable falls; straight bond ED relatively unaffected.
5.36 Capped floater
value of a capped floater = value of a “straight” floater − value of
the embedded cap
Wherecap = issuer option limiting coupon rate
▸ Use / trapIn tree: coupon at node = min(rate, cap) × par, set at start, paid in arrears. Example (cap 6%): $99.47, cap = 0.53.
5.37 Floored floater
value of a floored floater = value of a “straight” floater + value
of the embedded floor
Wherefloor = investor option setting minimum coupon rate
▸ Use / trapStraight floater at its reference rate = par. Example (floor 5%): $100.41, floor = 0.41.
5.38 Conversion price at issue
issue price
conversion price =
conversion ratio
Whereconversion ratio = shares received per bond
▸ Use / trap$1,000 par, ratio 10 ⇒ conversion price $100.
5.39 Conversion value
conversion value = market price of stock × conversion ratio
▸ Use / trapValue of the shares obtainable on conversion.
5.40 Minimum value of a convertible
minimum value of a convertible bond = max (straight value,
conversion value)
Wherestraight value = PV of cash flows at yield of comparable option-free bond
▸ Use / trapElse arbitrage. BSC: max(950, 25 × 35 = 875) = $950.
5.41 Market conversion price
market price of convertible bond
market conversion price =
conversion ratio
▸ Use / trapConversion parity price: stock price at which investor is indifferent between selling and converting. $985 / 25 = $39.40. Page 35 of 59
5.42 Market conversion premium per share & ratio
market conversion premium per share = market conversion price
− stock's market price
market conversion premium ratio =
market conversion premium per share
market price of common stock
▸ Use / trapPremium paid for upside option, with straight-value floor. $4.40 / $35 = 12.57%.
5.43 Premium over straight value
premium over straight value = (
market price of convertible bond
)−1
straight value
▸ Use / trapMeasures downside risk; higher ⇒ less attractive. Flaw: straight value moves with rates and credit spread. R26 · Credit Analysis Models
5.44 Convertible bond value (arbitrage-free)
convertible, noncallable bond value = straight value + value of
call option on stock
callable convertible bond value = straight value of bond + value
of call option on stock − value of call option on bond
callable and putable convertible bond value = straight value of
bond + value of call option on stock − value of call option on
bond + value of put option on bond
▸ Use / trapAdd options the investor is long, subtract those short. Higher stock volatility ⇑ value; higher rate volatility ⇓ callable convertible (short bond call).
5.45 Convertible vs stock returns
new stock price
return on convertible = ( ) − 1 (when
market conversion price
trading at conversion value)
▸ Use / trapStock $35→$45: convertible 14.2% vs stock 28.6%. Stock $35→$30: convertible −3.55% (floor $950) vs stock −14.29%. 14 formulas
5.46 Probability of survival (constant hazard rate)
t
PSt = (1 − hazard rate)
Wherehazard rate = conditional probability of default given no prior default
▸ Use / trap1.25% hazard over 3 years ⇒ PS = 96.30%.
L1 → L2Hazard rate and survival probabilities are new at L2.
5.47 Probability of default in period t
PDt = hazard rate × PS(t−1)
WherePS(t−1) = survival probability to end of prior period
▸ Use / trapYear 1 PD = hazard rate (PS0 = 1); later PDs < hazard rate.
5.48 Expected exposure (no rate volatility)
exposuret = PV at risk-free rate (as of t) of remaining cash flows
+ coupon at t
▸ Use / trapAmount at risk before recovery. Zero: $100/1.032, $100/1.03, $100. 4% coupon Year 1: 104/1.032 + 4/1.03 + 4 = $105.913.
5.49 Loss given default & recovery
LGD = exposure × (1 − recovery rate)
LGD (per $100 par) = exposure − recovery
Whererecovery rate = 1 − loss severity
▸ Use / trapAs a %: LGD (%) = 100 − recovery rate.
5.50 Expected loss
expected loss = LGD × PD
(expected loss)t = (probability of default)t × (loss given default)t
▸ Use / trapHigher expected loss ⇒ higher credit risk (relative credit risk ranking). Rank by expected loss, not by PD alone. rbeiset.com · Mentored by Deepak Goyal — CFA, FRM · Noida
5.51 Credit valuation adjustment (CVA)
PV of expected loss = DF × expected loss
CVA = Σ PV of expected loss
CVA = price of risk-free bond − price of risky bond
WhereDF = 1 / (1 + r)t at benchmark rate
▸ Use / trapSum (not mean) of PV of expected losses. Example: 3-yr zero, 2% hazard, 60% RR, 3% flat ⇒ CVA = $2.15, price $89.36.
L1 → L2CVA framework replaces simple expected loss of L1.
5.52 Credit spread
credit spread on a risky bond = YTM of risky bond − YTM of
benchmark
Whererisky price = VND − CVA
▸ Use / trapSolve YTM of risky price, then subtract benchmark YTM. $89.36 ⇒ 3.82% − 3% = 0.82%.
5.53 Value given no default (VND)
VND = PV of risky bond's cash flows at benchmark (risk-free)
rates
value of risky bond = VND − CVA
▸ Use / trapModel value > market price ⇒ undervalued. With a tree, VND by backward induction on benchmark rates.
5.54 Expected exposure with a rate tree
expected exposure for Year t = Σ (value in node t at time t × node
probability) + coupon for Year t
Wherenode probabilities: 50/50 at Year 1; 25/50/25 at Year 2
▸ Use / trapYear 1: 0.5(98.30) + 0.5(94.02) + 4 = $100.16. Final year exposure = par + coupon. Page 36 of 59
5.55 Risk-neutral probability of default (method)
RR × 100 × p + 100 × (1 − p)
price =
1+r
100 − 40p
e.g. 95 = ⇒ p = 5.38%
1.03
Wherep = risk-neutral PD implied by market price · RR = recovery rate · r = benchmark rate
▸ Use / trapConcept only. Given price, implied PD and assumed RR are positively correlated. Your hazard < risk-neutral PD ⇒ bond undervalued.
5.56 IRR if default occurs (method)
PV = −price; N = default year; FV = recovery × exposure; CPT
I/Y
▸ Use / trapExample: default Year 1: −89.36, N = 1, FV = 56.56 ⇒ −36.71%; no default ⇒ 3.82%. R27 · Credit Default Swaps
5.57 Credit migration price change
Δ%P = −(modified duration of the bond) × (Δ spread)
WhereΔ spread = new typical spread − old typical spread (decimal)
▸ Use / trapAAA→AA, MD 6.32, spread 60→87 bps ⇒ −6.32 × 0.0027 = −1.71%.
5.58 Structural model: equity & debt at T
value of equityT = max (0, AT − K)
value of debtT = AT − max (0, AT − K) = min (AT, K)
WhereAT = company asset value at debt maturity T · K = face value of debt
▸ Use / trapEquity = European call on assets, strike K. Default when AT < K (endogenous PD).
L1 → L2Structural (option-based) credit models are new at L2.
5.59 Structural model: put option view
value of the put option = max (0, K − AT)
value of risky debt = value of risk-free debt − value of put option
value of the put option = CVA
▸ Use / trapRisky debt = long risk-free debt + short put on company assets (strike = face value of debt). 9 formulas
5.60 Single-name CDS payoff (CTD)
payoff = notional − (market value of CTD as % of par)(notional)
WhereCTD = cheapest-to-deliver obligation with same seniority as reference obligation
▸ Use / trap$10m senior CDS, cheapest senior bond at 25% ⇒ $7.5m. Use CTD of same seniority, not a subordinated bond.
L1 → L2CDS reading is new at L2.
5.61 Index CDS after a constituent default
total notional
notional per entity =
number of entities
payoff = notional per entity − (recovery %)(notional per entity)
remaining notional = total notional − notional per entity
Whereentities equally weighted
▸ Use / trap$100m CDX-IG, 125 names, default at 30% ⇒ $0.8m − 0.24m = $560,000; notional falls to $99.2m. Higher default correlation ⇒ higher index spread.
5.62 Cash settlement payout
payout amount = payout ratio × notional principal
payout ratio = 1 − recovery rate (%)
Whererecovery rate = post-default price as % of par
▸ Use / trapPhysical settlement: seller pays par, receives the reference obligation.
5.63 Probability of default from hazard rate
PODt = PS(t−1) × hazard ratet
survival rate = (1 − h1)(1 − h2)…(1 − hn)
WherePS = probability of survival · h = hazard rate each year
▸ Use / trapHazard 2%, +1% per year, 5 yrs ⇒ survival 81.5%. Hazard rate affects both premium and protection legs. rbeiset.com · Mentored by Deepak Goyal — CFA, FRM · Noida
5.64 CDS spread (single period approximation)
CDS spread ≈ (1 − RR) × POD
WhereRR = recovery rate · POD = probability of default
▸ Use / trapIgnores time value. RR 50%, POD 3% ⇒ 150 bps. Spread rises with POD and LGD.
5.65 Upfront payment
upfront payment (by protection buyer) = PV(protection leg) −
PV(premium leg)
upfront premium % ≈ (CDS spread − CDS coupon) × duration
Whereduration = duration of the CDS (not of the reference bond) · coupon = 1% IG, 5% HY
▸ Use / trapNegative upfront ⇒ seller pays buyer. Spread 3.5%, coupon 5%, D 7 ⇒ −10.5%.
5.66 CDS spread from upfront premium
upfront premium %
CDS spread = + CDS coupon
duration
▸ Use / trapRearrangement of the upfront approximation.
5.67 CDS price
price of CDS (per $100 notional) ≈ $100 − upfront premium (%)
▸ Use / trapUpfront −10.5% ⇒ price $110.50 per $100.
5.68 Change in CDS value after inception
profit for protection buyer ≈ change in spread × duration ×
notional principal
profit for protection buyer (%) ≈ change in spread (%) × duration
Whereduration = CDS duration
▸ Use / trapBuyer is short credit risk: gains when spreads widen. Monetize by entering an offsetting CDS. Page 37 of 59 COMPARISON TABLES & FRAMEWORKS Traditional term structure theories Theory Forward rates / curve sha Unbiased (pure) expectations Forwards = expected futu Local expectations Risk neutrality only for sho Liquidity preference Forwards = expected spot Segmented markets Each maturity's yield set in Preferred habitat Premium from supply/dem Yield curve shifts and investor actions Shift Typical cause / action Bearish flattening Restrictive monetary policy; short rates rise Bullish steepening Recession; central bank cuts short rates Bullish flattening Flight to safety lowers long yields; rotate bullet → barbell Bearish steepening Long rates rise more than short rates Expect rates to rise Shorten (extend) portfolio duration (fall) Equilibrium vs arbitrage-free term structure models Model Type CIR Equilibrium, mean-reverting Vasicek Equilibrium, mean-reverting Ho-Lee Arbitrage-free, θt drift KWF Arbitrage-free, no mean reversion Gauss+ Multifactor (short/medium/long) Binomial tree vs Monte Carlo Method Use Spot (zero) curve Option-free bonds only Binomial tree (backward induction / Callable, putable, floaters; not path pathwise) dependent Monte Carlo (drift-adjusted) Path-dependent cash flows, e.g., MBS Relationship between assumed volatility and OAS Assumed vol Calls Puts Callable High High High Low Low Low Low High Volatility mis-estimate and OAS mispricing Analyst volatility Callable bond Lower than actual OAS too high ⇒ wrongly underpriced Higher than actual OAS too low ⇒ wrongly overpriced Duration and convexity of option bonds Feature Callable Effective duration ≤ straight; rises as rates r One-sided durations (near the money) Down-duration < up-dura Effective convexity Negative at low rates Key rate duration rules Bond Highest key rate duration Option-free at par Maturity rate only (= effective duration) Option-free not at par Maturity rate; low coupon may show negative KRDs Low-coupon callable Time to maturity (unlikely called) High-coupon callable Time to exercise High-coupon putable Time to maturity (unlikely put) Low-coupon putable Time to exercise rbeiset.com · Mentored by Deepak Goyal — CFA, FRM · Noida ape ure spots; risk neutral ort holding periods ots + premium rising with maturity independently by supply/demand mand imbalance; not tied to maturity Yield curve risk measures Measure Captures Effective duration Parallel shifts only Key rate duration Change in one par rate; shaping risk Level/steepness/curvature Three categories of curve movements Volatility Rates Rises with r Non-negative Constant Can be negative Constant Normal; can be negative Constant Lognormal; non-negative Hump-shaped Long rate mean-reverting Effect of volatility and rates on embedded options Change Call / callable bond Put / putable bond Volatility ↑ Call ↑, callable ↓ Put ↑, putable ↑ Rates ↓ Call ↑; callable rises less Put ↓ than straight Rates ↑ Call ↓ Put ↑; putable falls less than straight Upward curve Call ↑ Put ↓ flattens Straight bond Unaffected by volatility Unaffected by volatility Putable OAS call OAS put High Low High Low High Low Putable bond OAS too low ⇒ wrongly overpriced OAS too high ⇒ wrongly underpriced Putable Straight rise ≤ straight; falls as rates rise Little change ration Down-duration > up-duration — Positive throughout Positive Convertible bond behaviour Stock price Convertible vs stock Falls Convertible outperforms (straight-value floor) Rises Convertible underperforms (conversion premium) Stable Convertible may outperform via coupons Very low (busted) Trades like a bond: fixed-income equivalent Very high Trades like equity: common stock equivalent Page 38 of 59 Structural vs reduced-form credit models Aspect Structural Basis Balance sheet + option pricing Default Endogenous: AT < K Strength Explains why default occurs Weakness Assets must trade; no complex/off-B/S debt Equity / debt view Equity = call; debt = risk-free − put Determinants of term structure of credit spreads Factor Effect Credit quality AAA flat/slightly up; lower ratings steeper Financial conditions Spreads narrow in expansions, widen in downturns Market demand & supply Illiquid maturities show higher spreads Equity market volatility Higher volatility widens spreads Expected PD ↑ / RR ↓ in Upward-sloping credit curve; stable ⇒ flat future Securitized debt credit analysis Pool type Approach Short-term, granular, homogeneous Statistical-based Medium-term, granular, homogeneous Portfolio-based Discrete, non-granular Loan-level analysis Covered bond Collateral pool + recourse to issuer ★ Exam signals & key rules — Fixed Income 1. Upward-sloping spot curve ⇒ forward curve above spot curve and par/YTM below spot rate ST. 2. Expect future spots below forwards ⇒ bonds undervalued (buy); riding the curve adds return if curve stays upward sloping. 3. Z-spread ignores optionality; use OAS for bonds with embedded options. 4. In a tree, discount at the rate of the node being valued and average the two 1 branches. 1 5. Callable node = min(call price, value); putable node = max(put price, value). 1 rbeiset.com · Mentored by Deepak Goyal — CFA, FRM · Noida Reduced form Statistical model of when default occurs Exogenous random event; default intensity Assets need not trade; intensity varies No why; default treated as surprise Intensity via regression on firm & macro variables CDS strategies View Trade Credit spreads to widen Buy protection Credit spreads to narrow Sell protection Short-term outlook worse (curve Buy short-term, sell long-term flattening) protection Short-term outlook better (curve Buy long-term, sell short-term steepening) protection Bond spread > CDS spread Basis trade: buy bond, buy protection Anticipated LBO Buy stock and buy CDS protection M 6. Higher assumed volatility ⇒ lower callable value and lower OAS; higher putable value and higher OAS. 7. Higher OAS than similar-credit peers ⇒ undervalued. 8. Effective convexity denominator is BV0 × Δy2, no 2. 9. CVA is the sum of PVs of expected loss; risky value = VND − CVA. 10. Year-1 PD equals hazard rate; later PDs are below hazard rate. 11. CDS upfront uses CDS duration; negative upfront ⇒ seller pays buyer. . 12. Protection buyer is short credit risk: profits when spreads widen. Page 39 of 59 06 Derivatives 52 formulas C FA L E V E L I I 2 0 2 7 · S U B J E C T 0 6 6 tables 12 exam rules R28 · Pricing and Valuation of For R28 · Pricing and Valuation of Forward Commitments

★ Exam signals & key rules — Fixed Income

  1. Upward-sloping spot curve ⇒ forward curve above spot curve and par/YTM below spot rate ST.
  2. Expect future spots below forwards ⇒ bonds undervalued (buy); riding the curve adds return if curve stays upward sloping.
  3. Z-spread ignores optionality; use OAS for bonds with embedded options.
  4. In a tree, discount at the rate of the node being valued and average the two 1 branches. 1
  5. Callable node = min(call price, value); putable node = max(put price, value). 1 rbeiset.com · Mentored by Deepak Goyal — CFA, FRM · Noida 05 · Fixed Income Reduced form Statistical model of when default occurs Exogenous random event; default intensity Assets need not trade; intensity varies No why; default treated as surprise Intensity via regression on firm & macro variables CDS strategies View Trade Credit spreads to widen Buy protection Credit spreads to narrow Sell protection Short-term outlook worse (curve Buy short-term, sell long-term flattening) protection Short-term outlook better (curve Buy long-term, sell short-term steepening) protection Bond spread > CDS spread Basis trade: buy bond, buy protection Anticipated LBO Buy stock and buy CDS protection M 6. Higher assumed volatility ⇒ lower callable value and lower OAS; higher putable value and higher OAS.
  6. Higher OAS than similar-credit peers ⇒ undervalued.
  7. Effective convexity denominator is BV0 × Δy2, no 2.
  8. CVA is the sum of PVs of expected loss; risky value = VND − CVA.
  9. Year-1 PD equals hazard rate; later PDs are below hazard rate.
  10. CDS upfront uses CDS duration; negative upfront ⇒ seller pays buyer. . 12. Protection buyer is short credit risk: profits when spreads widen. Page 39 of 59
Subject 6 · 6 tables

6 Derivatives (52 formulas)

Readings: Pricing and Valuation of Forward Commitments · Valuation of Contingent Claims

6.1 Forward price — no cash flows (cost of carry)
FP = S0 × (1 + Rf)T
FP
S0 =
(1 + Rf)T
WhereFP = forward price · S0 = spot price at t = 0 · Rf = annual risk-free rate · T = contract term in years
▸ Use / trapForward price = spot + net cost of carry. Price makes value of long and short both zero at initiation; it is not a cost to enter.
L1 → L2L2 builds full no-arbitrage pricing and mark-to-market valuation on this L1 carry idea.
6.2 Cash-and-carry arbitrage profit
forward overpriced: borrow S0 → buy spot → short forward
profit at T = FPmarket − S0(1 + Rf)T
WhereFPmarket = quoted forward price · S0(1 + Rf)T = loan repayment
▸ Use / trapProfit equals actual minus no-arbitrage forward price (e.g., $510 − $507.34 = $2.66). Start with zero cash; buy low, sell high.
6.3 Reverse cash-and-carry arbitrage
forward underpriced: borrow asset → short spot → lend
proceeds → long forward
profit at T = S0(1 + Rf)T − FPmarket
WhereS0(1 + Rf)T = proceeds from investing short-sale cash
▸ Use / trapTrades reverse those of cash-and-carry; e.g., $507.34 − $502 = $5.34.
6.4 Continuous vs periodic risk-free rate
Rfc = ln(1 + Rf)
WhereRfc = continuously compounded rate · Rf = annually compounded rate
▸ Use / trap5% annual = ln(1.05) = 4.879% continuous; both give the same FV factor (1.05² = e0.04879×2).
6.5 Equity forward price — discrete dividends
FP = (S0 − PVD) × (1 + Rf)T
FP = [S0 × (1 + Rf)T] − FVD
WherePVD = PV of dividends paid during contract life · FVD = FV of those dividends at T · T = days/365
▸ Use / trapIgnore dividends paid after contract maturity. Equities use 365- day basis with periodic compounding.
L1 → L2Adds dividend adjustment (PVD/FVD) to the L1 cost-of-carry price.
6.6 Value of equity forward (long) before maturity
FP
Vt(long) = [St − PVDt] −
(1 + Rf)(T − t)
WhereSt = spot at t · PVDt = PV at t of remaining dividends before T · FP = original locked-in forward price
▸ Use / trapAdjusted spot minus PV of forward price. Short value = −Vt(long). Ignoring dividends overvalues the long by PVD. rbeiset.com · Mentored by Deepak Goyal — CFA, FRM · Noida rward Commitments R29 · Valuation of Contingent Claims 27 formulas
6.7 Forward value given current forward price
FPt − FP
Vt(long) =
(1 + Rf)(T − t)
WhereFPt = current forward price, same underlying and maturity · FP = original forward price
▸ Use / trapPV of the difference between new and locked-in forward price; discount over remaining term T − t. Works for equity and bond forwards.
6.8 Equity index forward — continuous dividend yield
c c c c
FP = S0 × e(Rf − δ ) × T = (S0 × e−δ × T) × eRf × T
WhereRfc = continuously compounded risk-free rate · δc = continuously compounded dividend yield
▸ Use / trapIndexes use 365-day year and continuous compounding (e raised to r × days/365).
6.9 Fixed-income forward price — coupon bond
FP = (S0 − PVC) × (1 + Rf)T
FP = S0 × (1 + Rf)T − FVC
WhereS0 = spot price incl. accrued interest · PVC = PV of coupons during contract · FVC = FV of those coupons at T
▸ Use / trapSame structure as dividend-paying stock; coupons replace dividends. Treasury coupons are semiannual; T = days/365.
6.10 Value of fixed-income forward (long) before maturity
FP
Vt(long) = [St − PVCt] −
(1 + Rf)(T − t)
WherePVCt = PV at t of remaining coupons before contract maturity
▸ Use / trapIf the current forward price FPt is given, use (FPt − FP)/(1 + Rf)(T − t) instead.
6.11 Accrued interest and full price
days since last coupon payment
AI = × coupon amount
days between coupon payments
full price = clean price + AI0
WhereAI0 = accrued interest at t = 0 · clean price = quoted price
▸ Use / trapBuyer pays the full (dirty) price at settlement; quotes are clean.
6.12 Bond futures price
FP = [(full price)(1 + Rf)T − FVC − AIT]
WhereAIT = accrued interest at futures maturity · FVC = FV of coupons received over contract life
▸ Use / trapSubtract AIT because the futures price is a clean-price quote at delivery.
6.13 Quoted bond futures price — conversion factor
1
QFP = FP/CF = [(full price)(1 + Rf)T − FVC − AIT] × ( )
CF
WhereCF = conversion factor of cheapest-to-deliver bond · QFP = quoted futures price
▸ Use / trapShort holds the delivery option; long pays futures price × CF at delivery. Use the CTD bond's CF.
L1 → L2L2-specific: conversion factor and cheapest-to-deliver adjustment. Page 40 of 59
6.14 MRR-based (add-on) loan interest
days
interest = principal × MRR ×
360
WhereMRR = market reference rate (e.g., SOFR), annualized add-on rate, 360-day year
▸ Use / trap$1m at 6% for 30 days = $5,000 interest. Unannualized rate = MRR × days/360.
6.15 FRA price (no-arbitrage forward rate)
1 + Rlong
FRA rate (unannualized) = −1
1 + Rshort
360
annualized = unannualized ×
days in underlying loan
WhereRlong = MRR × (days to loan end/360) · Rshort = MRR × (days to FRA expiry/360)
▸ Use / trapPrice of an FRA is a forward interest rate. 1 × 4 FRA: (1.01667/1.00333) − 1 = 1.33% → ×360/90 = 5.32%.
L1 → L2L1 computed forward rates; L2 prices and values the FRA contract itself.
6.16 FRA value at settlement (expiration)
[(MRRmkt − FRA rate) × (days/360)] × NP
V=
1 + MRRmkt × (days/360)
WhereMRRmkt = market rate at FRA expiry for underlying loan term · days = loan term · NP = notional principal
▸ Use / trapInterest savings occur at loan end, so discount back over the loan term at the current market rate. Long gains when rates rise.
6.17 FRA value before settlement
1 + MRRlong × (dayslong/360)
1) new FRA rate = [ − 1] ×
1 + MRRshort × (daysshort/360)
360
loan days
2) interest diff = (new FRA − old FRA) × (loan days/360) × NP
interest diff
3) V =
1 + MRRlong × (dayslong/360)
Wheredaysshort = days to FRA expiry now · dayslong = days to end of underlying loan now
▸ Use / trapDiscount over the full remaining period to loan maturity (e.g., 110 days), not just the loan term.
6.18 Value of futures contract (marked to market)
value of futures = current futures price − previous mark-to-
market price
▸ Use / trapFutures value resets to zero at each daily mark-to-market; forwards accumulate value until settlement.
6.19 Swap discount factor
1
Z= days
1 + (MRR × )
360
WhereMRR = annualized spot MRR for each settlement date · days = days to that settlement date
▸ Use / trapConvert annualized MRR to the per-period rate before discounting. Exam often gives Z values directly. rbeiset.com · Mentored by Deepak Goyal — CFA, FRM · Noida
6.20 Swap fixed rate (pricing an IRS)
1 − final discount factor
SFR(periodic) =
sum of discount factors
SFR(annual) = SFR(periodic) × number of settlement periods per
year
Wherediscount factors Z for each settlement date of the swap tenor
▸ Use / trapFixed rate that makes PV(fixed) = PV(floating), so swap value = 0 at initiation. Fixed payment = SFR(periodic) × NP.
L1 → L2L2 derives swap rate from MRR curve discount factors and values swaps after inception.
6.21 First net swap payment
net payment = [SFR(periodic) − MRR0 × (days/360)] × NP
WhereMRR0 = floating rate known at inception (set in advance, paid in arrears)
▸ Use / trapPaid by the fixed-rate payer if fixed > floating. Example: fixed $55,000 − floating $37,500 (= 3% × 90/360 × $5m) = $17,500 net.
6.22 Value of IRS on a settlement date (to payer)
days
value to payer = ΣZ × (SFRNew − SFROld) × × notional
360
principal
WhereΣZ = sum of discount factors for remaining settlement periods · SFRNew = current swap rate for remaining tenor · days = days in settlement period
▸ Use / trapRates up → fixed payer gains. Value to receiver = −value to payer. Curriculum values only on settlement dates for IRS.
6.23 Currency swap notional principal
NPforeign = NPdomestic × spot exchange rate (foreign per domestic)
Whereexchange rate at swap inception
▸ Use / trapNotionals are of equal value at inception, exchanged at start and returned at end. Each leg's fixed rate uses its own currency's curve.
6.24 Currency swap value after initiation
Σ(Z£ × CF£)
V(receive $, pay £) = Σ(Z$ × CF$) −
St (£ per $)
WhereCF = remaining fixed coupons + notional in each currency · Z = current discount factors in each currency · St = spot rate on valuation date
▸ Use / trapValue each leg as a bond in its own currency, convert at the current spot rate, then take the difference.
L1 → L2Two yield curves and two swap fixed rates; FX conversion at valuation-date spot.
6.25 Equity swap — fixed leg value (between settlement dates)
Vfixed (per $1) = SFR(periodic) × ΣZ + Zfinal × 1
WhereSFR(periodic) = annual fixed rate/periods per year · Z = current discount factors for remaining dates
▸ Use / trapValue the fixed side like a bond: PV of coupons plus PV of principal, then × notional.
6.26 Equity swap — equity leg value and swap value
St
Vequity = NP ×
Slast reset
V(pay fixed, receive equity) = Vequity − Vfixed
WhereSt = current index level · Slast reset = index at last settlement (or inception)
▸ Use / trapEquity side = notional × (1 + equity return since last payment date). Pricing the fixed rate uses the plain-vanilla SFR formula. Page 41 of 59
6.27 Swap of one equity return for another
value = (Rreceived − Rpaid) × NP
WhereR = return on each stock since last payment date · NP = notional
▸ Use / trapNo pricing at initiation. Paying stock A (+1.3%), receiving B (−0.8%): (−0.008 − 0.013) × $1m = −$21,000. R29 · Valuation of Contingent Claims
6.28 Up and down factors
S+
U = 1 + % up =
S
S−
D = 1 − % down =
S
S+ = S0 × U · S− = S0 × D
WhereS0 = current price · S+, S− = prices after up/down move
▸ Use / trapTwo-period nodes: S0U², S0UD, S0D² (up-down = down-up).
6.29 Risk-neutral probabilities
1 + Rf − D
πU =
U−D
πD = 1 − πU
WhereRf = periodically compounded risk-free rate per period
▸ Use / trapNot actual probabilities; consistent with risk-neutrality. Distinction from actual probabilities is not tested.
6.30 One-period binomial option value
(πU × C+) + (πD × C−)
C0 =
1 + Rf
(π × P ) + (πD × P−)
+
P0 = U
1 + Rf
WhereC+ = max(0, S+ − X) · C− = max(0, S− − X) · puts use max(0, X − S)
▸ Use / trapExpectations approach: option value = PV of risk-neutral expected payoff, discounted at the risk-free rate.
6.31 Two-period binomial option value
(πU × C++) + (πD × C+−)
C+ =
1 + Rf
−+
(π × C ) + (πD × C−−)
C− = U
1 + Rf
(πU × C+) + (πD × C−)
C=
1 + Rf
WhereC++, C+−, C−− = payoffs at t = 2 · Rf = rate per period
▸ Use / trapWork backward one period at a time; same π at every node for stock trees.
6.32 Put-call parity
S0 + P0 = C0 + PV(X)
X
P0 = C0 − S0 +
(1 + Rf)T
WherePV(X) = X/(1 + Rf)T · same underlying, strike and maturity
▸ Use / trapProtective put = fiduciary call. Use to back out a put or call price or build synthetics.
6.33 Synthetic call
C0 = S0 + P0 − PV(X)
Wherelong stock + long put + short zero-coupon bond (borrow PV of X)
▸ Use / trapRearrange parity for any synthetic: synthetic put = long call + long bond − short stock. rbeiset.com · Mentored by Deepak Goyal — CFA, FRM · Noida 25 formulas
6.34 American options — early exercise check
(πU × P+) + (πD × P−)
node value = max[exercise value, ]
1 + Rf
Whereexercise value of put = max(0, X − S) at that node
▸ Use / trapAmerican call on non-dividend stock = European call. Deep ITM puts may be exercised early (e.g., $10 > $9.44 → value $5.24 vs $4.95).
6.35 Hedge ratio (binomial delta)
C+ − C−
h=
S+ − S−
P+ − P−
h (puts) = +
S − S−
Whereh = shares of stock per option needed for a riskless hedge
▸ Use / trapCall overpriced: sell calls, buy h shares per call, borrow. Underpriced: buy calls, short h shares. Put h is negative.
6.36 Arbitrage-free option value (replicating portfolio)
(−hS− + C−) (−hS+ + C+)
C0 = hS0 + = hS0 +
1 + Rf 1 + Rf
(−hS− + P−) (−hS+ + P+)
P0 = hS0 + = hS0 +
1 + Rf 1 + Rf
Whereh = hedge ratio · hedged portfolio (−hS + C) is riskless and earns Rf
▸ Use / trapCall = leveraged position in h shares; put = long bond plus short h shares (h < 0 for puts).
6.37 Interest rate option payoffs
call payoff = notional principal × [max(0, reference rate −
exercise rate)]
put payoff = notional principal × [max(0, exercise rate −
reference rate)]
Wherereference rate = rate at the node · exercise rate = strike rate
▸ Use / trapIR calls gain when rates rise; IR puts gain when rates fall. Assume cash settlement at option maturity.
6.38 Interest rate option on binomial rate tree
(0.5 × V+) + (0.5 × V−)
V=
1 + inode
Whereinode = one-period forward rate at that node · V+, V− = option values at next nodes
▸ Use / trapRate trees use equal 0.5 risk-neutral probabilities; discount rate differs at each node (not constant). Page 42 of 59
6.39 Black–Scholes–Merton (no dividends)
C0 = S0N(d1) − e−rTXN(d2)
P0 = e−rTXN(−d2) − S0N(−d1)
ln(S/X) + (r + σ²/2)T
d1 =
σ√T
d2 = d1 − σ√T
WhereT = time to expiration · r = continuously compounded risk-free rate · S0 = asset price · X = exercise price · σ = annual volatility of returns · N(·) = cumulative standard normal · N(−x) = 1 − N(x)
▸ Use / trapEuropean options only. Value = PV of expected payoff in continuous time.
L1 → L2New at L2: full BSM pricing and interpretation.
6.40 BSM interpretation — replicating portfolios
call = long N(d1) shares + borrow e−rTXN(d2)
put = long e−rTXN(−d2) bonds + short N(−d1) shares
WhereN(d2) = risk-neutral prob. call expires ITM · N(−d2) = 1 − N(d2) = prob. put expires ITM
▸ Use / trapCall is a leveraged stock position. If market price > replicating cost: write option, buy replicating portfolio.
6.41 BSM with continuous dividend yield
C0 = S0e−δTN(d1) − e−rTXN(d2)
P0 = e−rTXN(−d2) − S0e−δTN(−d1)
ln(S/X) + (r − δ + σ²/2)T
d1 = · d2 = d1 − σ√T
σ√T
Whereδ = continuously compounded dividend yield · S0e−δT = stock price less PV of dividends
▸ Use / trapDividends lower call value and raise put value.
6.42 Put-call parity with dividends
P0 + S0e−δT = C0 + e−rTX
Whereδ = continuous dividend yield · r = continuous risk-free rate
▸ Use / trapReplace S0 with dividend-adjusted price S0e−δT.
6.43 BSM for currency options
C0 = S0e−r(B)TN(d1) − e−r(P)TXN(d2)
P0 = e−r(P)TXN(−d2) − S0e−r(B)TN(−d1)
Wherer(P) = continuously compounded price (domestic) currency rate · r(B) = continuously compounded base (foreign) currency rate · S0 = spot exchange rate
▸ Use / trapForeign (base) interest rate plays the role of the dividend yield; strike is discounted at the price-currency rate.
6.44 Black model — options on futures/forwards
c
C0 = e−Rf × T[FT × N(d1) − X × N(d2)]
ln(FT/X) + (σ²/2)T
d1 = · d2 = d1 − σ√T
σ√T
WhereFT = futures price · σ = std. dev. of returns on the futures contract · Rfc = continuous risk-free rate c
▸ Use / trapBSM with e−Rf × TFT substituted for S0; ignores mark-to-market. Call = long futures (PV × N(d1)) + short bond. rbeiset.com · Mentored by Deepak Goyal — CFA, FRM · Noida
6.45 Interest rate option on an FRA (Black model)
C0 = (AP)e−r(actual/365)[FRA(M×N)N(d1) − XN(d2)] × NP
actual
AP = accrual period =
365
WhereFRA(M×N) = current forward rate on underlying (N − M)-month loan · X = strike rate · NP = notional on the FRA
▸ Use / trapForward rate replaces stock price; strike rate replaces exercise price. Options on FRAs use actual/365 (FRAs use 30/360).
6.46 Payer swaption (Black model)
PAY = (AP) PVA [SFR N(d1) − X N(d2)] NP
ln(SFR/X) + (σ²/2)T
d1 = · d2 = d1 − σ√T
σ√T
WhereAP = 1/# settlement periods per year in underlying swap · PVA = PV of annuity (sum of discount factors) · SFR = current market swap fixed rate · X = swaption exercise rate · NP = swap notional
▸ Use / trapRight to pay fixed; gains when rates rise. Exercise if market swap rate > X. Value = PV(E(payoff)).
6.47 Receiver swaption (Black model)
REC = (AP) PVA [X N(−d2) − SFR N(−d1)] NP
Wheresame inputs as payer swaption
▸ Use / trapRight to receive fixed; gains when rates fall. Long callable bond = option-free bond + short receiver swaption.
6.48 Option delta (BSM, dividend-paying stock)
deltaC = e−δTN(d1)
deltaP = −e−δTN(−d1)
Whereδ = continuously compounded dividend yield
▸ Use / trapCall delta rises from 0 to e−δT as S rises; put delta rises from −e−δT to 0. Delta = hedge ratio = slope of pre-expiry curve.
6.49 Delta approximation of option price change
ΔC ≈ e−δTN(d1) × ΔS
ΔP ≈ −e−δTN(−d1) × ΔS
WhereΔC, ΔP = change in call and put price · ΔS = change in stock price
▸ Use / trapLinear approximation; accurate only for small ΔS. Example: 0.58 × $0.75 = $0.435.
6.50 Delta–gamma approximation
ΔC ≈ call delta × ΔS + ½ gamma × ΔS²
ΔP ≈ put delta × ΔS + ½ gamma × ΔS²
Wheregamma = rate of change of delta per $1 change in S
▸ Use / trapGamma adds curvature, like convexity for bonds. Long calls and puts have positive gamma; call and put gammas are equal.
6.51 Rho intuition from BSM
C0 = [S0 × N(d1)] − [X × e−RfT × N(d2)]
▸ Use / trapHigher r shrinks the second term, so call rho > 0; put rho < 0. Rho is a minor sensitivity.
6.52 Delta hedge — number of options
number of shares hedged
short calls needed =
delta of call option
number of shares
long puts needed = −
delta of the put option
Wheredelta of call > 0 · delta of put < 0
▸ Use / trapLong stock + short calls (or long puts) = delta-neutral. Must rebalance continuously (dynamic hedge); 60,000/0.60 = 100,000 calls. Page 43 of 59 COMPARISON TABLES & FRAMEWORKS Forward/futures pricing and valuation summary Underlying Price (at t = 0) Value to long (at t) No cash flows S0(1 + Rf)T St − FP/(1 + Rf)T−t Stock, discrete (S0 − PVD)(1 + Rf)T (St − PVDt) − FP/(1 + Rf)T−t dividends Equity index c c Continuous-time analogue S0e(Rf − δ )T Coupon bond (S0 − PVC)(1 + Rf)T (St − PVCt) − FP/(1 + Rf)T−t Bond futures [(full)(1 + Rf)T − FVC − Marked to market daily (quoted) AIT]/CF FRA Implied forward rate from PV of interest savings at MRR curve current MRR Any, given FPt — (FPt − FP)/(1 + Rf)T−t Swap pricing and valuation summary Swap Pricing (fixed rate) Interest rate (1 − Zfinal)/ΣZ Currency Each currency's own SFR; notionals at spot Equity (pay fixed) Same SFR formula as IRS Equity for equity No pricing needed Cash-and-carry vs reverse cash-and-carry Condition Trades Forward overpriced Borrow, buy spot, short forward Forward underpriced Short spot, lend proceeds, long forwa Day-count and compounding conventions Contract Year basis Compounding MRR-based (FRAs, swaps, caps, 360 days Simple: r × days/360 floors) Equities, bonds, stock options 365 days Periodic: (1 + r)days/365 Equity indexes 365 days Continuous: er × days/365 Options on FRAs Actual/365 Black model accrual period Direction of BSM option value for an increase in each input Greek Input Calls Delta Asset price (S) Positive, delta > 0 Gamma Delta Gamma > 0 Vega Volatility (σ) Vega > 0 Rho Risk-free rate (r) Rho > 0 Theta Time to expiration (T) Theta < 0 — Exercise price (X) Negatively related Interest rate derivative equivalencies Position Replicated by Long FRA Long IR call + short IR put (strike = FRA rate) Short FRA Short IR call + long IR put (strike = FRA rate) Interest rate cap Series of IR calls (caplets) Interest rate floor Series of IR puts (floorlets) Payer swap Long cap + short floor (same strike) Receiver swap Short cap + long floor (same strike) Payer swap (swaptions) Long payer + short receiver swaption Long callable bond Option-free bond + short receiver swaption rbeiset.com · Mentored by Deepak Goyal — CFA, FRM · Noida Valuation after inception ΣZ × (SFRNew − SFROld) × days/360 × NP (payer) PV each leg as bond; convert at current spot; difference NP × (St/Sreset) − PV(fixed coupons + principal) (Rreceived − Rpaid) × NP Profit at T FPmkt − S0(1 + Rf)T ward S0(1 + Rf)T − FPmkt Puts 0 Negative, delta < 0 Gamma > 0 Vega > 0 Rho < 0 Theta < 0 (deep ITM exception) d Positively related Page 44 of 59 ★ Exam signals & key rules — Derivatives 1. Forward price makes contract value zero at initiation; value changes afterward. 2. Forward overpriced → cash-and-carry; underpriced → reverse cash-and- carry. 1 3. Ignore dividends or coupons paid after the forward contract matures. 1 4. FRA long = long the rate (borrower); gains when rates rise. 5. FRA value: discount savings over the remaining period to loan maturity. 1 6. Fixed-rate swap payer gains when rates rise; receiver gains when rates fall. 7. Currency swap: value each leg in its own currency, convert at current spot. rbeiset.com · Mentored by Deepak Goyal — CFA, FRM · Noida 8. Binomial stock trees use πU = (1 + Rf − D)/(U − D); rate trees use 0.5/0.5. 9. American call on non-dividend stock = European call; deep ITM American puts may be exercised early. 10. N(d2) = risk-neutral probability that a call finishes in the money. 11. Delta-hedged long stock + short calls has negative net gamma (gamma risk on jumps). 12. Market implied volatility below your forecast → options underpriced → buy them. Page 45 of 59 07 Alternative Investments 28 formulas C FA L E V E L I I 2 0 2 7 · S U B J E C T 0 7 7 tables 11 exam rules R30 · Introduction to Commodities R31 · Overview of Types of Real Estate Investment R32 · Investments in Real E R30 · Introduction to Commodities and Commodity Deriv

★ Exam signals & key rules — Derivatives

  1. Forward price makes contract value zero at initiation; value changes afterward.
  2. Forward overpriced → cash-and-carry; underpriced → reverse cash-and- carry. 1
  3. Ignore dividends or coupons paid after the forward contract matures. 1
  4. FRA long = long the rate (borrower); gains when rates rise.
  5. FRA value: discount savings over the remaining period to loan maturity. 1
  6. Fixed-rate swap payer gains when rates rise; receiver gains when rates fall.
  7. Currency swap: value each leg in its own currency, convert at current spot. rbeiset.com · Mentored by Deepak Goyal — CFA, FRM · Noida 06 · Derivatives
  8. Binomial stock trees use πU = (1 + Rf − D)/(U − D); rate trees use 0.5/0.5.
  9. American call on non-dividend stock = European call; deep ITM American puts may be exercised early.
  10. N(d2) = risk-neutral probability that a call finishes in the money.
  11. Delta-hedged long stock + short calls has negative net gamma (gamma risk on jumps).
  12. Market implied volatility below your forecast → options underpriced → buy them. Page 45 of 59
Subject 7 · 7 tables

7 Alternative Investments (28 formulas)

Readings: Introduction to Commodities and Commodity Derivatives · Overview of Types of Real Estate Investment · Investments in Real Estate Through Publicly Traded Securities · Hedge Fund Strategies

7.1 Basis and calendar spread
basis = spot price − futures price
calendar spread = near-maturity futures price − distant-maturity
futures price
▸ Use / trapContango: futures > spot, basis and calendar spread negative. Backwardation: futures < spot, both positive.
7.2 Theory of Storage
futures price = spot price + storage costs − convenience yield
Whereconvenience yield = benefit of holding physical inventory (high when stocks are low)
▸ Use / trapStorage costs > convenience yield → contango; convenience yield > storage costs → backwardation.
7.3 Total return — fully collateralized long futures
total return = collateral return + price return + roll return
Wherecollateral return = holding-period yield on collateral (e.g., T-bills) · price return = spot yield · roll return = roll yield
▸ Use / trapIf spot is unchanged and curve is backwardated, total return > collateral return.
7.4 Price return (spot yield)
price return = (current price − previous price) / previous price
Wherespot prices (proxied by near-month futures)
▸ Use / trapChange in spot price component of commodity futures return. R31 · Overview of Types of Real Estate Investment
7.5 Roll return (roll yield)
roll return =
price of expiring futures contract − price of new futures
contract
price of expiring futures contract
Whereexpiring = near contract being closed · new = longer-dated contract being opened
▸ Use / trapPositive in backwardation (2.35 → 2.22: +5.53%), negative in contango (397 → 406: −2.27%).
7.6 Net roll return (portfolio)
net roll return = weight of commodity × roll return
Whereweight = commodity's share of the portfolio
▸ Use / trapExample: 0.085 × 5.53% = 0.47%. In backwardation more contracts are bought to keep dollar exposure.
7.7 Commodity total return swap — net payment to long
net payment = (commodity return − fixed rate) × notional
Wherecommodity return = % change in futures price over the period (+ collateral return) · fixed rate = periodic fixed payment
▸ Use / trapNegative return: long pays fixed plus the negative return, e.g., (−0.0214 − 0.0025) × $10m = −$239,000. 11 formulas
7.8 Net operating income (NOI)
rental income if fully occupied
+ other income
= gross potential rental income
− vacancy and collection loss
= effective gross income
− operating expense
= NOI
Whereoperating expense = taxes, insurance, utilities, maintenance, repairs
▸ Use / trapNOI ≈ EBIT: before financing costs (interest) and income taxes. Gross potential income uses market rents.
7.9 Debt service coverage ratio
DSCR = NOI1 / debt service
WhereNOI1 = first-year NOI · debt service = interest + principal payments
▸ Use / trapLender minimum DSCR caps the loan: max payment = NOI/DSCR; interest-only loan = payment/rate.
7.10 Loan-to-value ratio
LTV = loan amount / appraised value
▸ Use / trapMax loan = lower of LTV-based and DSCR-based amounts (e.g., €960,000 vs €900,000 → €900,000). rbeiset.com · Mentored by Deepak Goyal — CFA, FRM · Noida s and Commodity Derivatives Estate Through Publicly Traded Securities R33 · Hedge Fund Strategies ivatives 7 formulas
7.11 Equity dividend rate (cash-on-cash return)
equity dividend rate = first-year cash flow / equity
first-year cash flow = NOI − debt service
Whereequity = purchase price − loan
▸ Use / trapPre-tax, one-period metric; not the same as IRR (ignores appreciation and later periods).
7.12 After-tax return and depreciable base
depreciation = (price − land value) / depreciable life
tax = t × (NOI − interest expense − depreciation)
after-tax return = (first-year cash flow − tax) / equity
Wheret = tax rate · land is not depreciated
▸ Use / trapExample: (€45,000 − €3,000)/€300,000 = 14%. Analogous to ROE.
7.13 Cap rate and discount rate
cap rate = discount rate − growth rate
Wherediscount rate = required return (risk-free + risk premium) · growth = constant NOI/value growth
▸ Use / trapWith constant growth, cap rate is below the discount rate. Page 46 of 59
7.14 Direct capitalization method
NOI1
V0 =
cap rate
WhereNOI1 = first-year (stabilized) NOI · cap rate = going-in cap rate
▸ Use / trapCap rate from comps = NOI/sale price. Use stabilized NOI if current NOI is temporarily depressed, then subtract the lost value.
7.15 DCF valuation of property
NOIt TVn
value = Σt=1n t
+
(1 + r) (1 + r)n
NOI(n+1)
TVn =
terminal cap rate
Wherer = required rate of return · n = holding period · terminal cap rate = r − long-run growth
▸ Use / trapTerminal value uses NOI of year n + 1. Example: $2.2712m/0.05 = $45.424m. R32 · Investments in Real Estate Through Publicly Trade
7.16 Sales comparison adjustment
adjusted pricecomp = sale price ± adjustments (age, condition,
location, sale date)
value = average adjusted price per SF × subject SF
Whereadjustments based on unadjusted comparable price
▸ Use / trapAdjust comps up for undesirable differences, down for desirable ones.
7.17 NCREIF Property Index (NPI) return
return =
NOI − capital expenditures + (ending market value − beginning
market value)
beginning market value
Wheremarket values are appraisal-based, reported quarterly
▸ Use / trapIncome return (NOI/beginning value = cap rate) plus capital return; value-weighted index.
7.18 Unsmoothing appraisal-based returns
R*t = αRt + (1 − α)R*t−1
WhereR* = appraisal-based return · R = actual return · 0 ≤ α ≤ 1
▸ Use / trapHigher α applies more unsmoothing. Appraisal lag understates volatility and correlations. ed Securities 8 formulas
7.19 Cap rate from comparable transactions
cap rate = NOIcomps / transaction pricecomps
Wherecomps = recent comparable property transactions
▸ Use / trapMarket-required rate used to capitalize a REIT's cash NOI when no reliable appraisal exists.
7.20 Forecast cash NOI for NAV
pro forma cash NOI = LTM NOI − non-cash rents + full-year
adjustment for acquisitions
next 12 months' cash NOI = pro forma cash NOI × (1 + growth)
Wherenon-cash rent = straight-line rent minus cash rent received
▸ Use / trapRemove non-cash (straight-line) rent, annualize acquisitions, then apply growth.
7.21 Net asset value per share (NAVPS)
estimated cash NOI ÷ assumed cap rate = value of operating real
estate
+ cash, receivables, land held, prepaid/other tangible assets
− debt and other liabilities
= NAV ÷ shares outstanding = NAVPS
Whereexclude goodwill, deferred financing costs, deferred tax assets · use market values of debt if materially different
▸ Use / trapNAVPS (market values) beats BVPS (depreciated historical cost). Premium/discount reflects management, leverage, governance.
7.22 Funds from operations (FFO)
FFO = accounting net earnings + depreciation, amortization,
impairments and write-downs − gains from sales of property +
losses from sales of property
▸ Use / trapDepreciation added back: accounting depreciation usually exceeds economic depreciation; property sales are not continuing income. rbeiset.com · Mentored by Deepak Goyal — CFA, FRM · Noida
7.23 Adjusted funds from operations (AFFO)
AFFO = FFO − non-cash (straight-line) rent adjustment −
recurring maintenance-type capex and leasing commissions
WhereAFFO a.k.a. cash available for distribution (CAD) or funds available for distribution (FAD)
▸ Use / trapBetter measure of economic income and dividend capacity, but more subjective; FFO is cited more often.
7.24 Price-to-FFO valuation
FFO/share = FFO ÷ shares outstanding
value per share = FFO/share × sector average P/FFO multiple
▸ Use / trapP/FFO is the most commonly used REIT multiple. Example: $7 × 10 = $70.
7.25 Price-to-AFFO valuation
AFFO = FFO − non-cash rents − recurring maintenance-type
capex
value per share = (AFFO ÷ shares) × property subsector average
P/AFFO multiple
▸ Use / trapMultiples ignore non-income-producing assets and leverage differences; adjust for leverage. Example: $5 × 14 = $70.
7.26 Discounted cash flow (dividend) valuation of REIT share
value of a REIT share = PV(dividends for Years 1 through n) +
PV(terminal value at end of Year n)
D
TVn = n+1
r−g
Wherer = cost of equity · g = long-run dividend growth · Dn+1 = first dividend of perpetuity stage
▸ Use / trapSuits REITs because they pay out most income. Example: TV = $5.25/(0.09 − 0.01) = $65.63 → value ≈ $63.57. Page 47 of 59 R33 · Hedge Fund Strategies
7.27 Conditional linear factor model
(Return on HFi)t = αi + βi,1(Factor 1)t + βi,2(Factor 2)t + … +
βi,K(Factor K)t + Dtβi,1(Factor 1)t + Dtβi,2(Factor 2)t + … +
Dtβi,K(Factor K)t + (error)i,t
Whereαi = intercept · βi,K = exposure in normal periods · Dt = dummy (0 normal, 1 crisis) · Dβi,K = incremental crisis exposure · error = zero-mean noise
▸ Use / trapUnexplained return = omitted factors, alpha (skill) or error. Four factors used: SNP500, USD, CREDIT, VIX (BOND, CMDTY dropped for multicollinearity). COMPARISON TABLES & FRAMEWORKS Contango vs backwardation Feature Contango Backwardation Futures vs spot Futures > spot Futures < spot Basis (spot − Negative Positive futures) Calendar spread Negative Positive Roll return (long) Negative Positive Theory of Storage costs > Convenience yield > storage Storage convenience yield costs Hedging Long hedgers (users) Short hedgers (producers) pressure dominate dominate Theories of commodity futures returns Theory Core idea Insurance Theory (Keynes) Producers pay speculators to bear p Hedging Pressure Hypothesis Adds long hedgers (consumers) to In Theory of Storage Storage costs vs convenience yield Commodity swaps Swap Variable payment based on Total return swap Change in futures price plus collateral return Excess return swap Amount commodity price exceeds fixed/benchmark value Basis swap Difference between prices of two commodities Volatility (variance) Actual vs specified volatility (variance) swap Private real estate valuation approaches Approach Method Cost Land value + replacement cost − depreciat Sales comparison Adjust comparable sale prices to subject Income: direct capitalization NOI1/going-in cap rate Income: DCF PV of NOI + terminal value (terminal cap ra REIT valuation approaches Approach Calculation NAV Cash NOI/cap rate + other assets − liabilities, per share P/FFO FFO/share × sector P/FFO P/AFFO (FFO − non-cash rent − maint. capex)/share × P/AFFO DCF/DDM PV of dividends + terminal value Real estate index types Index Basis Appraisal-based (NCREIF NPI, GREFI) Appraised values Repeat-sales Properties sold at least twice Hedonic Single sale; regression controls ch Public securities (REIT indexes) Market prices of REITs/REOCs rbeiset.com · Mentored by Deepak Goyal — CFA, FRM · Noida 2 formulas
7.28 Portfolio weights after hedge fund allocation
wnew = wold × (1 − wHF)
WherewHF = allocation to hedge fund strategy
▸ Use / trap20% into HF from 60/40: 20% HF, 48% stock, 32% bond. Curve implied price risk Normal backwardation Insurance Theory Backwardation or contango Backwardation or contango Best for tion/obsolescence Unusual properties, few comps Many recent similar sales (homes) Stabilized income property ate) Multi-year holding period Key point Best fundamental measure; private-market view Most widely used multiple Closer to cash earnings; more subjective Fits high-payout REITs Bias Lags; smooths volatility and correlations Needs two sales; regression allocates change characteristics Model-dependent Higher correlation with equities Page 48 of 59 Effect of 20% hedge fund allocation to 60/40 portfolio Metric Typical effect Standard deviation Decreases Sharpe ratio Increases Sortino ratio Increases Max drawdown Decreases (about one-third of portfolios) Little benefit — ★ Exam signals & key rules — Alternative Investments 1. Roll return is positive in backwardation, negative in contango. 2. Total futures return = collateral + price (spot) + roll return. 3. NOI excludes interest expense and income taxes. 4. Maximum loan = lower of DSCR-based and LTV-based amounts. 5. Cap rate = discount rate − growth; value = NOI1/cap rate. 1 6. Terminal value uses NOI of year n + 1 divided by terminal cap rate. 7. Appraisal-based indexes lag transaction-based indexes and understate 1 volatility. rbeiset.com · Mentored by Deepak Goyal — CFA, FRM · Noida Standout strategies Dedicated short, bear market neutral Systematic futures, distressed, FI arb, macro, EMN EMN, systematic futures, L/S equity, event driven Global macro, systematic futures, merger arb, EMN Fund-of-funds, multi-strategy 8. FFO adds back depreciation and removes property sale gains/losses; AFFO also deducts non-cash rent and maintenance capex. 9. Use cash NOI for NAV; exclude goodwill, deferred financing costs and deferred tax assets. 10. Conditional factor model: dummy Dt = 1 in crisis captures incremental exposures. 11. Sortino uses downside deviation only; preferred for left-tail hedge fund strategies. Page 49 of 59 08 Portfolio Management 75 formulas C FA L E V E L I I 2 0 2 7 · S U B J E C T 0 8 12 tables 12 exam rules R34 · Economics and Investment R36 · Exchange-Traded Funds: Mechanics and Applications R37 · Using Multi R39 · Backtesting and Simulation R34 · Economics and Investment Markets

★ Exam signals & key rules — Alternative Investments

  1. Roll return is positive in backwardation, negative in contango.
  2. Total futures return = collateral + price (spot) + roll return.
  3. NOI excludes interest expense and income taxes.
  4. Maximum loan = lower of DSCR-based and LTV-based amounts.
  5. Cap rate = discount rate − growth; value = NOI1/cap rate. 1
  6. Terminal value uses NOI of year n + 1 divided by terminal cap rate.
  7. Appraisal-based indexes lag transaction-based indexes and understate 1 volatility. rbeiset.com · Mentored by Deepak Goyal — CFA, FRM · Noida 07 · Alternative Investments Standout strategies Dedicated short, bear market neutral Systematic futures, distressed, FI arb, macro, EMN EMN, systematic futures, L/S equity, event driven Global macro, systematic futures, merger arb, EMN Fund-of-funds, multi-strategy
  8. FFO adds back depreciation and removes property sale gains/losses; AFFO also deducts non-cash rent and maintenance capex.
  9. Use cash NOI for NAV; exclude goodwill, deferred financing costs and deferred tax assets.
  10. Conditional factor model: dummy Dt = 1 in crisis captures incremental exposures.
  11. Sortino uses downside deviation only; preferred for left-tail hedge fund strategies. Page 49 of 59
Subject 8 · 12 tables

8 Portfolio Management (75 formulas)

Readings: Economics and Investment Markets · Analysis of Active Portfolio Management · Exchange-Traded Funds: Mechanics and Applications · Using Multifactor Models · Measuring and Managing Market Risk · Backtesting and Simulation

8.1 Inter-temporal rate of substitution
marginal utility of consuming 1 unit in the future at time t
mt =
marginal utility of current consumption of 1 unit
ut
=
u0
Whereut = marginal utility of future consumption · u0 = marginal utility of current consumption
▸ Use / trapInvestors prefer current consumption (u0 > ut), so mt < 1. Higher expected GDP growth lowers future marginal utility → mt falls, real rates rise.
L1 → L2New at L2: real rates derived from utility theory, not simply quoted.
8.2 Price of risk-free inflation-indexed zero ($1 at t = 1)
P0 = E(m1)
WhereP0 = current price · m1 = inter-temporal rate of substitution for t = 1
▸ Use / trapBond price equals the expected inter-temporal rate of substitution; inflation-indexed so inflation is ignored.
8.3 Real risk-free rate
1 − P0 1
R= =[ ]−1
P0 E(m1)
WhereR = real risk-free rate · P0 = price of $1 real zero · E(m1) = expected inter-temporal rate of substitution
▸ Use / trapHigher utility attached to current consumption → lower P0 → higher real rate.
8.4 Bond price with uncertain sale price (risk premium via
covariance)
E(P1)
P0 = + cov(P1, m1)
(1 + R)
WhereE(P1) = expected sale price · R = real risk-free rate · cov(P1, m1) = covariance of price with inter-temporal rate of substitution
▸ Use / trapRisky assets: covariance negative (high prices when marginal utility low) → lower P0 → positive risk premium. Held to maturity, single period: covariance = 0.
8.5 Nominal short-term risk-free rate
r(short-term) = R + π
WhereR = real risk-free rate · π = expected inflation
▸ Use / trapFor T-bills, inflation uncertainty is negligible, so no inflation risk premium.
8.6 Nominal long-term risk-free rate
r(long-term) = R + π + θ
Whereθ = risk premium for uncertainty about actual inflation
▸ Use / trapθ rises with maturity → explains normally positive term spread (upward-sloping curve). rbeiset.com · Mentored by Deepak Goyal — CFA, FRM · Noida nt Markets R35 · Analysis of Active Portfolio Management ifactor Models R38 · Measuring and Managing Market Risk 12 formulas
8.7 Taylor rule
r = Rn + π + 0.5(π − π*) + 0.5(y − y*)
Wherer = policy rate implied · Rn = neutral real policy rate · π = current inflation · π* = target inflation · y = log of current output · y* = log of target (sustainable) output
▸ Use / trapInflation above target or output above potential → higher policy rate. Rates too low vs. rule = policy error magnifying the cycle.
8.8 Break-even inflation rate (BEI)
BEI = yield on non-inflation-indexed bond − yield on inflation-
indexed bond
BEI = π + θ
Whereπ = expected inflation · θ = risk premium for inflation uncertainty
▸ Use / trapTrap: BEI ≠ expected inflation alone for longer maturities; it also contains θ.
8.9 Required return on credit-risky bonds
Required return = R + π + θ + γ
Whereγ = additional risk premium for credit risk = credit spread
▸ Use / trapSpreads widen in downturns (more defaults, lower recoveries). Spread narrowing helps lower-rated bonds most.
8.10 Discount rate for equity
Discount rate for equity = R + π + θ + γ + κ
λ = equity risk premium = γ + κ
Whereκ = additional risk premium relative to risky debt for equities · λ = equity risk premium
▸ Use / trapEquity is a poor consumption hedge (pro-cyclical) → positive ERP; ERP falls in expansions, rises in recessions.
8.11 Discount rate for commercial real estate
Discount rate for commercial real estate = R + π + θ + γ + κ + φ
Whereκ = premium for uncertainty about terminal value of property · φ = risk premium for illiquidity
▸ Use / trapReal estate has bond-like, equity-like and illiquid features; premium close to equity's.
8.12 Shiller's CAPE
real (inflation-adjusted) price
CAPE =
10-year moving average of real earnings
WhereReal price and real earnings are inflation-adjusted
▸ Use / trapSmooths the volatility of unadjusted P/E. Multiples rise with expected growth and fall with any component of required return. Page 50 of 59 R35 · Analysis of Active Portfolio Management
8.13 Ex-ante active return
E(RA) = E(RP) − E(RB)
WhereRP = active portfolio return · RB = benchmark return
▸ Use / trapEx-post version uses realized returns. Assumes portfolio beta = 1 vs benchmark (otherwise use alpha).
8.14 Active return from active weights
E(RA) = ΣΔwiE(Ri)
Δwi = wPi − wBi
WhereΔwi = active weight of security i · wPi, wBi = portfolio and benchmark weights
▸ Use / trapActive weights must sum to zero; overweights positive, underweights negative.
8.15 Multi-asset-class portfolio and benchmark returns
E(RP) = ΣwPjE(RPj) and E(RB) = ΣwBjE(RBj)
E(RA) = ΣwPjE(RPj) − ΣwBjE(RBj)
Wherej = asset class · wPj, wBj = asset-class weights · E(RPj), E(RBj) = asset- class returns in portfolio and benchmark
▸ Use / trapWeighted average of asset-class returns for each portfolio; difference = active return.
8.16 Decomposition: asset allocation + security selection
E(RA) = ΣΔwjE(RBj) + ΣwPjE(RAj)
E(RAj) = E(RPj) − E(RBj)
WhereΣΔwjE(RBj) = return from asset allocation · ΣwPjE(RAj) = return from security selection · E(RAj) = active return within asset class j
▸ Use / trapTrap: allocation term uses BENCHMARK class returns; selection term uses PORTFOLIO weights.
8.17 Sharpe ratio
RP − RF
SR =
σP
WhereRF = risk-free rate · σP = total risk of portfolio
▸ Use / trapUnaffected by adding cash or leverage (excess return and σ scale together).
8.18 Information ratio
RP − RB R active return
IR = = A =
σ(RP − RB) σA active risk
WhereσA = active risk = benchmark tracking risk
▸ Use / trapChanged by adding cash/leverage; unchanged by scaling active weights or blending with the benchmark. Closet indexer: low IR, often negative after fees.
8.19 Optimal active risk (unconstrained)
IR
σA * = σB
SRB
WhereSRB = benchmark Sharpe ratio · σB = benchmark total risk
▸ Use / trapLevel of active risk that maximizes portfolio Sharpe ratio; achieve it by mixing active fund and benchmark.
8.20 Sharpe ratio of portfolio with optimal active risk
SRP = √(SRB2 + IR2)
WhereSRB = benchmark Sharpe ratio · IR = information ratio of active portfolio
▸ Use / trapHighest IR → highest attainable Sharpe ratio, so choose the manager with the highest IR regardless of risk aversion. rbeiset.com · Mentored by Deepak Goyal — CFA, FRM · Noida 23 formulas
8.21 Total portfolio risk
σP2 = σB2 + σA2
WhereσB = benchmark risk · σA = active risk
▸ Use / trapUsed to find σP after choosing optimal active risk (e.g., 12% and 6% → 13.4%).
8.22 Expected active return for target active risk
E(RA) = IR × σA
WhereσA = chosen active risk
▸ Use / trapThen portfolio excess return = E(RA) + (RB − RF).
8.23 Weight in active fund to hit target active risk
target (optimal) active risk
Weight in active fund = ; remainder
active risk of active fund
in benchmark
Wheree.g., σA* = 6%, fund active risk = 9% → 67% fund, 33% benchmark
▸ Use / trapBlending with benchmark scales active return and active risk proportionally; IR unchanged.
8.24 Transfer coefficient
TC = CORR(μi/σi, Δwiσi) = CORR(Δwi*σi, Δwiσi)
Whereμi = ex-ante active return of security i · σi = its active risk · Δwi* = optimal active weight · Δwi = actual active weight
▸ Use / trapUnconstrained portfolio: TC = 1. Constraints (no shorts, risk limits) push TC below 1.
8.25 Grinold rule (forecast active return)
μi = ICσiSi
WhereIC = information coefficient · σi = active risk of security i · Si = standardized score (variance 1)
▸ Use / trapConverts a standardized score into an expected active return.
8.26 Expected value added
E(RA) = ΣΔwiμi
WhereΔwi = active weight · μi = expected active return
▸ Use / trapSum of active weights times forecast active returns.
8.27 Fundamental law — unconstrained
IR* = IC√BR
E(RA)* = IC√BRσA
WhereIC = information coefficient (skill) · BR = breadth (independent bets per year) · * = optimal (TC = 1)
▸ Use / trapBreadth example: 10 securities each month → BR = 10 × 12 = 120.
8.28 Fundamental law — full (constrained)
IR = (TC)IC√BR
E(RA) = (TC)IC√BRσA
WhereTC = transfer coefficient
▸ Use / trapTC < 1 → IR < IR* and E(RA) < E(RA)*.
L1 → L2New at L2: fundamental law of active management (IC, TC, BR). Page 51 of 59
8.29 Optimal active risk — constrained portfolio
IR*
σCA* = TC σB
SRB
WhereIR* = information ratio of the unconstrained portfolio
▸ Use / trapConstrained optimal active risk is lower than unconstrained.
8.30 Sharpe ratio — constrained portfolio
SRPC = √(SRB2 + TC2 × IR*2)
WhereTC = transfer coefficient · IR* = unconstrained IR
▸ Use / trapConstrained Sharpe ratio is below the unconstrained one.
8.31 Ex-post fundamental law and noise
E(RA|ICR) = (TC)(ICR)√BRσA
RA = E(RA|ICR) + noise
WhereICR = realized (ex-post) information coefficient · noise = constraint- induced noise
▸ Use / trapTC2 of realized active-return variance is due to realized IC; (1 − TC2) is constraint-induced noise.
8.32 IC of a market timer
IC = 2(% correct) − 1
Where% correct = proportion of correct calls
▸ Use / trap50% correct → IC = 0. Quarterly calls → BR = 4. R36 · Exchange-Traded Funds: Mechanics and Applicati
8.33 Sector rotation: active risk of the bet
σC = [σX2 − 2σXσYrXY + σY2]½
WhereσX, σY = sector volatilities · rXY = correlation of sector returns
▸ Use / trapStd dev of differential return RX − RY, per period of the bet.
8.34 Sector rotation: annualized active risk and return
σA = σC × √BR
E(RA) = IC × √BR × σA
WhereBR = number of bets per year (monthly → 12)
▸ Use / trapActive-risk limit: allowable weight deviation = risk limit ÷ annualized strategy active risk (5.20%/17.32% = 30%).
8.35 Breadth with correlated decisions
N
BR =
1 + (N − 1)r
WhereN = number of decisions · r = correlation between the decisions
▸ Use / trapCross-sectional or time-series dependence reduces effective breadth below N. tions 6 formulas
8.36 Maximum ETF bid–ask spread
maximum spread = creation/redemption fees plus other trading
costs
+ spread of the underlying securities
+ risk premium for carrying the trade until close of trading
+ AP's normal profit margin
− discount based on probability of offsetting the trade in
secondary market
WhereAP = authorized participant
▸ Use / trapSpread negatively related to probability of an offsetting secondary-market trade; wider for fixed income, specialized and thinly traded ETFs.
8.37 ETF premium (discount)
ETF price − NAV per share
ETF premium (discount) % =
NAV per share
WhereUse closing prices; intraday fair value = iNAV
▸ Use / trapPositive = premium (APs create & sell ETF), negative = discount (APs buy & redeem). Sources: timing differences, stale pricing.
8.38 Total cost of ETF ownership
total cost = round-trip trading cost + management fees
round-trip trading cost = round-trip commission + spread
Whereround-trip commission = 2 × one-way commission · management fee accrues per year held
▸ Use / trapHolding cost = round-trip trading cost + (years held × annual fee). Short horizon: trading cost dominates; buy-and-hold: fees dominate. rbeiset.com · Mentored by Deepak Goyal — CFA, FRM · Noida
8.39 Tracking difference and tracking error
Tracking difference = ETF return (based on NAV) − return on
tracked index
Tracking error = annualized standard deviation of daily tracking
difference
▸ Use / trapTracking error does not show direction (under/outperformance) or when differences occurred; compare annual rolling tracking difference with expense ratio.
8.40 Leveraged ETF daily reset
NAVt = NAVt−1 × (1 + leverage × daily index return)
WhereExample: 100 → 100 + (2 × 5%) = 110 → 110 × (1 − 0.10) = 99
▸ Use / trapCompounding with daily reset: +5% then −5% leaves 2× ETF below start. Unsuitable for horizons beyond one month (expectation-related risk).
8.41 ETF liquidity for tactical use
average dollar volume
Liquidity = (higher is better)
average assets
▸ Use / trapTactical ETFs chosen for low trading cost and liquidity, not low management fee. Page 52 of 59 R37 · Using Multifactor Models
8.42 APT equation
E(RP) = RF + βP,1(λ1) + βP,2(λ2) + … + βP,k(λk)
WhereRF = risk-free rate · βP,j = sensitivity of portfolio P to factor j · λj = risk premium of factor j (pure factor portfolio)
▸ Use / trapAssumptions: unsystematic risk diversifiable, factor model generates returns, no arbitrage. CAPM = special case with one (market) factor.
L1 → L2New at L2: multifactor APT replaces single-factor CAPM view.
8.43 Constructing an arbitrage portfolio
β D = wA β A + wBβ B = β C
E(RD) = wAE(RA) + wBE(RB)
Arbitrage return = E(RD) − E(RC)
WhereD = replicating portfolio of A and B with same beta as C
▸ Use / trapZero cost, zero net factor exposure. Go long high return-per- unit-of-factor, short low (e.g., long D 15%, short C 13% → 2%).
8.44 Solving for APT parameters (one-factor)
E(R) = RF + β × λ, applied to two portfolios → solve for RF and
λ
Wheree.g., 0.07 = RF + 1.0λ and 0.078 = RF + 1.2λ → λ = 4%, RF = 3%
▸ Use / trapThen check a third portfolio: if actual ≠ APT expected return, it is mispriced.
8.45 Macroeconomic factor model
Ri = E(Ri) + bi1FGDP + bi2FQS + εi
WhereE(Ri) = expected return absent surprises · F = factor surprise · b = sensitivity to surprise · εi = firm-specific surprise
▸ Use / trapOnly SURPRISES move returns. Sign trap: negative sensitivity × negative surprise = positive return (MT: −0.5 × −0.01 = +0.005).
8.46 Fundamental factor model
Ri = ai + bi1FP/E + bi2FSIZE + εi
WhereFP/E, FSIZE = factor returns · ai = intercept · b = standardized sensitivities
▸ Use / trapFactors are returns (not surprises); intercept has no economic meaning (not expected return).
8.47 Standardized sensitivity (fundamental model)
(P/E)i − mean P/E
bi1 =
σP/E
Where(P/E)i = stock's P/E · mean P/E = average across stocks · σP/E = std dev of P/E across stocks
▸ Use / trapz-score style; computed from data, not regression-estimated (e.g., (15.20 − 11.90)/6.30 = 0.52). R38 · Measuring and Managing Market Risk
8.48 Return attribution: active return
Active return = RP − RB = factor return + security selection
return
▸ Use / trapSecurity selection return is the residual after factor return.
8.49 Factor return (attribution)
factor return = Σi=1k(βpi − βbi) × (λi)
security selection return = active return − factor return
Whereβpi, βbi = portfolio and benchmark sensitivity to factor i · λi = factor risk premium
▸ Use / trapExample: −0.60% active = −1.16% factor tilts + 0.56% selection.
8.50 Active risk (tracking error)
Active risk = tracking error = σ(RP − RB)
▸ Use / trapStandard deviation of active return.
8.51 Active risk decomposition
active risk squared = active factor risk + active specific risk
active specific risk = Σi=1n(Wpi − Wbi)2σεi2
active factor risk = active risk squared − active specific risk
WhereWpi, Wbi = weights in active and benchmark portfolio · σεi2 = residual (unsystematic) risk of asset i
▸ Use / trapComponents add as VARIANCES; active factor risk is the plug. Proportion = component ÷ active risk squared; active risk = √(active risk squared).
8.52 Carhart four-factor model
E(R) = RF + β1RMRF + β2SMB + β3HML + β4WML
WhereRMRF = value-weighted equity index − RF · SMB = small cap − large cap · HML = high − low book-to-market · WML = past winners − past losers
▸ Use / trapPure bet on one factor: long (short) that factor portfolio; expect large caps to win → short the SMB factor portfolio.
8.53 Hedging a factor exposure
Short position in factor portfolio = portfolio's sensitivity to that
factor
WhereFactor portfolio: sensitivity 1 to one factor, 0 to all others
▸ Use / trapGDP sensitivity 0.8 → 80% short position in GDP factor portfolio. Tracking portfolio = replicates benchmark's factor exposures.
8.54 Ex-post information ratio
R̄ P − R̄ B
IR =
σ(RP − RB)
WhereR̄ = average return · σ(RP − RB) = tracking risk
▸ Use / trapMeasures consistency of active return (0.27 = 27 bp of active return per 1% active risk). 15 formulas
8.55 Two-asset portfolio variance
σ2Portfolio = WA2σA2 + WB2σB2 + 2WAWBCovAB
WhereW = portfolio weights · σ = std dev of returns · CovAB = covariance
▸ Use / trapInput to parametric VaR; VaR is very sensitive to the covariance estimate. rbeiset.com · Mentored by Deepak Goyal — CFA, FRM · Noida 13 formulas
8.56 Parametric (variance–covariance) VaR
% VaR = [E(Rp) − z × σp] × (−1)
$ VaR = % VaR × portfolio value
Wherez = 1.65 for 5% VaR (one tail) · E(Rp), σp = portfolio mean and std dev for the VaR horizon
▸ Use / trapVaR = MINIMUM loss with given probability. Example: [0.00036 − 1.65(0.012682)] × (−1) = 0.0206 daily. Page 53 of 59
8.57 Scaling daily to annual
annual mean = 250 × daily mean
annual standard deviation = √250 × (daily standard deviation)
Where250 trading days · daily returns assumed independent and identically distributed
▸ Use / trapMean scales with T, σ with √T. Annual 5% VaR = [0.09 − 1.65(0.20052)] × (−1) = 0.2409.
8.58 Historical simulation VaR
5% VaR = smallest loss among the largest 5% of losses from
revaluing the CURRENT portfolio over each lookback-period
change
WhereLookback period = historical window of actual risk-factor changes
▸ Use / trapNo distributional assumption; handles options. Unusually volatile (calm) lookback overstates (understates) VaR.
8.59 Monte Carlo simulation VaR
5% VaR = fifth percentile of thousands of simulated portfolio
outcomes
WhereRisk factors drawn from assumed distributions and correlations
▸ Use / trapNo lookback period needed. Large sample + same normal distribution and parameters → same result as parametric.
8.60 Conditional VaR (CVaR)
CVaR = expected loss given loss ≥ VaR = average of losses
beyond the VaR cutoff
WhereAlso called expected tail loss / expected shortfall
▸ Use / trapEasy with historical or Monte Carlo; mathematically complex with parametric method.
8.61 Incremental VaR (IVaR)
IVaR = VaR after change in position weight − VaR before
Wheree.g., 2% weight increase: 1,562,400 − 1,345,600 = $216,800
▸ Use / trapChange in VaR from a specific change in allocation to a security.
8.62 Marginal VaR (MVaR)
MVaR = slope of the curve of VaR vs. security weight, at the
current weight
▸ Use / trap≈ change in VaR for a 1% increase in weight; estimate of a position's contribution to VaR. R39 · Backtesting and Simulation
8.63 Relative VaR (ex ante tracking error)
Relative VaR = VaR of (long subject portfolio + short benchmark
portfolio)
▸ Use / trap5% monthly relative VaR of 2.5% → 5% of the time underperformance ≥ 2.5%.
8.64 CAPM (equity sensitivity: beta)
E(Ri) = Rf + Betai[E(RMKT) − Rf]
WhereBetai = sensitivity to market returns
▸ Use / trapBeta is the main equity risk sensitivity measure.
8.65 Duration–convexity price change
Change in price = −Duration(ΔY) + ½ Convexity(ΔY)2
WhereΔY = change in YTM · with Macaulay duration, replace ΔY by ΔY/(1 + Y)
▸ Use / trapDuration = first-order; convexity = second-order. Same duration ≠ same risk if yield volatilities differ.
8.66 Option price change: delta–gamma–vega
Change in call price = delta(ΔS) + ½ gamma(ΔS)2 + vega(ΔV)
delta = Δ option value / Δ underlying price · gamma = Δ delta / Δ
underlying price
WhereΔS = change in underlying price · ΔV = change in future volatility
▸ Use / trapDelta first-order; gamma second-order (like convexity); vega = volatility sensitivity.
8.67 Surplus at risk (DB pension funds)
Surplus = PV(assets) − PV(liabilities)
Surplus at risk = VaR of (plan assets − liabilities)
▸ Use / trapPension funds focus on asset-liability mismatch and surplus volatility.
8.68 Active share
Active share = weight of security in portfolio − its weight in
benchmark
▸ Use / trapRelative risk measure specific to traditional (long-only) asset managers.
8.69 Maximum drawdown
Maximum drawdown = largest decrease in value over prior
periods of a specific length
▸ Use / trapUsed by hedge funds with significantly non-normal returns (and CTAs). 6 formulas
8.70 Maximum drawdown (backtest metric)
Maximum drawdown = maximum cumulative return (peak) −
lowest cumulative return after that point
WherePeak-to-trough loss experienced in the past
▸ Use / trapDownside-risk metric based on actual past losses; used by CTAs and hedge funds. rbeiset.com · Mentored by Deepak Goyal — CFA, FRM · Noida
8.71 CVaR (backtest metric)
CVaR = average loss once the VaR cutoff is exceeded
(at α = 5%: expected return within the lowest 5% of outcomes)
Whereα = significance level
▸ Use / trapMore comprehensive tail measure than VaR; VaR is sensitive to the assumed distribution shape. Page 54 of 59
8.72 Sortino ratio
Sortino ratio = Sharpe-type ratio using target semideviation in
place of standard deviation
WhereTarget semideviation = downside deviation below target
▸ Use / trapReported alongside Sharpe ratio and maximum drawdown in backtests.
8.73 Long/short hedged factor portfolio
Factor return = return on top quintile (long) − return on bottom
quintile (short)
WhereQuintiles from ranking universe on factor score; rebalanced monthly
▸ Use / trapFama–French hedged portfolio approach; drawback: some managers cannot short. COMPARISON TABLES & FRAMEWORKS Risk premium build-up by asset class (R34) Asset Required return / discount rate Short-term default-free bond R+π Long-term default-free bond R+π+θ Credit-risky bond R+π+θ+γ Equity R + π + θ + γ + κ (λ = γ + κ) Commercial real estate R+π+θ+γ+κ+φ Active strategies under the fundamental law (R35) Strategy IC Breadt Security selection Given IC per bet Numbe Market timing 2(% correct) − 1 Calls p Sector rotation 2(% correct) − 1 Bets p Multifactor model types (R37) Feature Macroeconomic Fundamental Factors Surprises in macro variables Returns to firm attributes (P/E, siz Sensitivities Regression slopes Standardized attributes (z-scores Intercept Expected return No economic meaning Weakness — — Factor portfolio vs tracking portfolio (R37) Portfolio Construction Factor portfolio Sensitivity 1 to one factor, 0 to others Tracking portfolio Matches benchmark's set of factor exposures VaR estimation methods (R38) Feature Parametric Histori Inputs Means, variances, covariances Actual Distribution assumption Usually normal None Lookback period Yes Yes Options in portfolio Limited usefulness Handle CVaR Complex Easy (a Risk sensitivity measures by exposure (R38) Exposure First-order Second-order / other Equity Beta — Fixed income Duration Convexity Options Delta Gamma; vega (volatility) rbeiset.com · Mentored by Deepak Goyal — CFA, FRM · Noida
8.74 Rolling-window (walk-forward) backtest
Calibrate on in-sample window → trade next out-of-sample
period → roll window forward one period → repeat
Wheree.g., trailing 12-month earnings yield, monthly rebalancing
▸ Use / trapMethodology fixed in advance to avoid overfitting; assumes past patterns repeat; may miss extreme downside.
8.75 Volatility regime definition
High-volatility period: VIX > its five-year moving average
Low-volatility period: VIX < its five-year moving average
WhereVIX = implied volatility of S&P 500 options
▸ Use / trapUsed in historical scenario analysis (regimes: recession vs expansion, high vs low volatility). Sharpe ratio vs information ratio (R35) Feature Sharpe ratio Information ratio Numerator RP − RF RP − RB (active return) Denominator Total risk σP Active risk σA Adding cash / leverage Unchanged Changes (cash lowers IR) Scaling active weights — Unchanged Blending with benchmark — Unchanged Zero-beta fund, RF benchmark Equals IR Equals SR dth Active risk ber of independent bets/yr Given σA per year (quarterly = 4) Given σA per year (monthly = 12) σC × √BR Statistical ize) Portfolios from factor analysis / principal components es), not estimated Statistically derived — Factors hard to interpret ("mystery") Use Speculate or hedge a single factor Passive replication of benchmark ical simulation Monte Carlo past risk-factor changes Assumed distributions + correlations Any specified No es Handles average tail losses) Easy Page 55 of 59 VaR vs sensitivity vs scenario analysis (R38) Measure Gives VaR Probability of minimum loss Sensitivity Exposure to small change in one factor Scenario / stress Effect of simultaneous large changes Risk measures by organization type (R38) Organization Typical risk measures Banks Duration, FX exposure, leverage, sce Traditional asset managers Relative risk, ex ante tracking error, a Hedge funds Sensitivities, leverage, gross exposur DB pension funds Surplus at risk, asset-liability mismatc P&C insurers Investment-portfolio sensitivities, VaR Life insurers Sensitivities of assets and annuity liab Risk constraints (R38) Constraint What it does Risk budgeting Set total acceptable risk, allocate across units Position limits Cap exposure to security, asset class, country, currency Scenario limits Cap expected loss under a given scenario Stop-loss limits Reduce exposure when losses exceed amount over period Portfolio insurance Hedge with index puts as value falls Backtesting problems and fixes (R39) Problem Cause Survivorship bias Only firms existing today Look-ahead bias Data unavailable at decision date (reporting lag, restateme Data snooping Pick best of many tested models Historical simulation vs Monte Carlo simulation (R39) Feature Historical simulation Monte Carlo simulation Draws Random past returns (with From assumed multivariate replacement = bootstrapping) distribution Time order Ignored N/A Strength Uses actual data, simple Flexible: fat tails, skew, tail dependence Weakness Limited to what happened Complexity; model/estimation error ★ Exam signals & key rules — Portfolio Management 1. Value changes only when expectations change (cash flows, real rates, inflation, or risk premiums). 2. Inverted yield curve signals recession; upward slope as economy exits recession. 3. Credit spreads widen in downturns; narrowing spreads favour lower-rated bonds. 4. Choose the manager with the highest IR; set active risk via σA* = (IR/SRB)σB 1 by blending with the benchmark. 5. 'Constraints', 'long-only', 'cannot short' in a vignette → TC < 1, use full 1 fundamental law. 1 6. 'Correct X% of the time' → IC = 2(X) − 1; quarterly calls → BR = 4, monthly → 12. rbeiset.com · Mentored by Deepak Goyal — CFA, FRM · Noida Lacks Tail size, liquidity, correlation spikes Probability of changes Probability (except historical frequency) enario/stress tests, VaR, economic capital active share, scenario analysis re, stress tests, maximum drawdown tch, hedged vs unhedged exposure R, capital at risk, combined scenarios abilities, mismatch, surplus scenarios Remedy Point-in-time data ents) Point-in-time data or reporting-lag assumption Higher t-stat hurdle (≈3.0); cross-validation 7. Macro model: only surprises (actual − expected) matter; watch sign of sensitivity × surprise. 8. Active risk components add as variances: active risk² = active factor + active specific. 9. VaR is a minimum loss: 5% one-tailed → z = 1.65; scale mean by T and σ by √T. B 10. Need average loss beyond VaR → CVaR; change in VaR from weight change → IVaR / MVaR. 11. Portfolio with options → historical or Monte Carlo VaR, not parametric. 12. Backtest signals: 'stocks that exist today' = survivorship; 'restated/reported later' = look-ahead; 'tested many models' = data snooping. Page 56 of 59 09 Ethics & Professional Stan C FA L E V E L I I 2 0 2 7 · S U B J E C T 0 9 Study & reference sheet 6 tables 12 exam rules COMPARISON TABLES & FRAMEWORKS Code of Ethics — six components (Members and Candidates must:) # Component 1 Act with integrity, competence, diligence, and respect, and in an ethical manner the investment profession, and other participants in the global capital markets 2 Place the integrity of the investment profession and the interests of clients abov 3 Use reasonable care and exercise independent professional judgment when con investment actions, and engaging in other professional activities 4 Practice and encourage others to practice in a professional and ethical manner 5 Promote the integrity and viability of the global capital markets for the ultimate b 6 Maintain and improve their professional competence and strive to maintain and Standards of Professional Conduct I–VII Code Title Core req I Professionalism I(A) Knowledge of the Law Comply I(B) Independence and Objectivity No gifts I(C) Misrepresentation No know I(D) Misconduct No dish I(E) Competence Act with II Integrity of Capital Markets II(A) Material Nonpublic Information Do not a II(B) Market Manipulation No price III Duties to Clients III(A) Loyalty, Prudence, and Care Client in III(B) Fair Dealing Deal fair III(C) Suitability 1(a) inqu III(D) Performance Presentation Fair, acc III(E) Preservation of Confidentiality Keep cli IV Duties to Employers IV(A) Loyalty Act for e IV(B) Additional Compensation Arrangements Compet IV(C) Responsibilities of Supervisors Reasona V Investment Analysis, Recommendations, and Actions V(A) Diligence and Reasonable Basis (1) Dilige V(B) Communication with Clients and Prospective Clients Disclose vs opini V(C) Record Retention Maintain VI Conflicts of Interest VI(A) Avoid or Disclose Conflicts Avoid, o VI(B) Priority of Transactions Client an VI(C) Referral Fees Disclose VII Responsibilities as a CFA Institute Member or CFA Candidate VII(A) Conduct as Participants in CFA Institute Programs Do not c VII(B) Reference to CFA Institute, the CFA Designation, and the CFA Do not m Program rbeiset.com · Mentored by Deepak Goyal — CFA, FRM · Noida ndards er with the public, clients, prospective clients, employers, employees, colleagues in ve their own personal interests onducting investment analysis, making investment recommendations, taking r that will reflect credit on themselves and the profession benefit of society d improve the competence of other investment professionals equirement y with stricter of law or Code; dissociate from violations s/benefits that could compromise independence and objectivity wing misrepresentation; includes guarantees and plagiarism honesty, fraud, deceit or acts reflecting adversely h and maintain competence for professional responsibilities act or cause others to act on MNPI ce distortion or artificial volume to mislead nterests before employer's and own irly and objectively with all clients quire and update; 1(b) suitable vs written IPS; 1(c) total portfolio; 2 follow mandate curate, and complete performance information lient info confidential unless (1) illegal, (2) required by law, (3) client permits employer's benefit; don't divulge confidential info or harm employer ting compensation needs written consent from all parties nable efforts so supervisees comply with laws and Code gence, independence, thoroughness; (2) reasonable and adequate basis se (1) services and costs, (2) process, (3) risks/limitations; (4) key factors; (5) fact ion in records supporting analysis and communications or prominent plain-language full disclosure and employer trades before beneficial-owner trades se compensation received/paid for referrals compromise reputation/integrity of CFA Institute or programs misrepresent or exaggerate membership, designation, candidacy Page 57 of 59 Recommended procedures and key do / don't by standard Standard Do I(A) Track law changes; seek counsel/compliance; document dissociation I(B) Restricted list; pay own commercial travel; token gifts; preapprove IPO b I(C) List firm services; cite sources; keep records of materials used I(D) Firm code of ethics; list of violations/sanctions; check references I(E) Continuing education, designations, seminars, self-study II(A) Seek public dissemination; firewalls; watch, restricted, rumor lists II(B) — III(A) Quarterly itemized statements; best execution; vote proxies; use soft do client III(B) Limit pre-dissemination knowledge; simultaneous dissemination; written allocation; pro rata IPO III(C) Written IPS per client; review periodically; judge in total portfolio III(D) Follow GIPS; composites not single account; include terminated accoun III(E) Share only with authorized co-workers; secure electronic data IV(A) Get employer consent before independent practice IV(B) Immediate written report of proposed outside compensation IV(C) Adequate written compliance; investigate promptly; increase supervisio V(A) Written due-diligence guidance; scenario-test models; review third-part and external advisers V(B) Keep research records; disclose process changes promptly V(C) Retain records (7 years if no other rule) VI(A) Disclose stock ownership, compensation structure, board service VI(B) Limit IPO participation; restrict private placements; blackout periods; pr disclose policies VI(C) Disclose nature and value of referral benefits; quarterly updates to emp VII(A) Follow exam rules and Candidate Pledge VII(B) State facts (e.g., passed exams on first attempt) Additional compensation — disclosure rules (IV(B) professor's note) Situation Requirement One-time client gift for past Disclose to employer (not necessarily performance in writing) Client agreement for future Disclose in writing outperformance pay Side job potentially competing with Written permission required employer Unrelated side job No disclosure required Unsolicited trade requests (III(C)) Impact on total portfolio Action Minimal Discuss why unsuitable; follow firm policy; cli Material Update IPS, or separate client-directed accou Ethics case studies (R42) Case Standard Violation Syyark III(B) Fair Dealing Fills larger clients' orders from ow Syyark III(C) Suitability Blanket 3%; smallest clients used Syyark IV(B) Additional Compensation Mining without informing employe Syyark V(A) Diligence and Reasonable Research not thorough Basis Syyark VI(A) Avoid or Disclose Conflicts Recommends illiquid holding he o Agarway I(A) Knowledge of the Law Soliciting minors; collecting minor Agarway VI(A) Avoid or Disclose Conflicts Club gets preferential intelligence investments rbeiset.com · Mentored by Deepak Goyal — CFA, FRM · Noida Don't Rely on advice known to be illegal; no duty to report to regulators buys Accept gifts that compromise objectivity; issuer-paid research with contingent pay Guarantee returns; plagiarize (recognized statistical services need no citation) Use PCP to settle personal disputes — (CE recommended, not required) Act on MNPI (mosaic theory with nonmaterial info is OK) Trade to create false activity; spread false rumors ollars for Churn accounts; direct brokerage for firm benefit en trade Favour select clients; take hot IPO shares personally Blanket allocations; trade outside mandate nts; disclose Present simulated results as actual; cherry-pick accounts Disclose client info (OK if illegal activity, required by law, or permitted) Solicit clients or take records before leaving Accept competing compensation without written consent on Accept supervision with inadequate procedures (decline in writing) rty research Recommend without reasonable and adequate basis Omit risks/limitations; blur fact and opinion Take former employer's records Hide conflicts or bury them in fine print reclearance; Front-run clients ployer Accept undisclosed referral fees Reveal exam topics, questions, formulas or weightings Imply superior performance; 'partial' designation; use CFA after dues lapse ient acknowledges unt per firm policy; else reconsider relationship Required action wn account Fill all orders pro rata or none from own account d as 'guinea pigs' Assess each client's goals and constraints yer Disclose and obtain written permission first Document research, value drivers, suitable clients owns; late disclosure Disclose to clients and employer up front ors' data Ensure applicant complies with all laws e; competing personal Disclose to all investors Page 58 of 59 ★ Exam signals & key rules — Ethics & Professional Standard 1. Follow the stricter of applicable law and the Code and Standards. 2. On discovering a violation: approach supervisor/compliance, then dissociate; reporting to regulators not required by Standards. 3. Mosaic theory: public info + nonmaterial nonpublic info is permitted; analyst conference calls are not public disclosure. 4. Fair does not mean equal: different service levels OK if disclosed and available to all. 1 5. Client trades → employer trades → personal (beneficial-owner) trades; family accounts that are clients are treated as clients. 1 6. Gifts from clients: disclose; gifts contingent on future performance: written employer consent. 1 rbeiset.com · Mentored by Deepak Goyal — CFA, FRM · Noida ds 7. Supervisor with inadequate compliance procedures: decline supervisory responsibility in writing. 8. Leaving an employer: may prepare, but must not solicit clients or take t records/models before departure. 9. Issuer-paid research: flat fee only, not contingent on conclusions, with disclosure. 10. Significant change in investment process must be disclosed to clients promptly. 11. Records: firm property; 7-year minimum if no other rule; recreate from public sources at a new firm. 12. Never reveal exam topics, questions, formulas or weightings; do not link CFA designation to superior performance. Page 59 of 59

★ Exam signals & key rules — Portfolio Management

  1. Value changes only when expectations change (cash flows, real rates, inflation, or risk premiums).
  2. Inverted yield curve signals recession; upward slope as economy exits recession.
  3. Credit spreads widen in downturns; narrowing spreads favour lower-rated bonds.
  4. Choose the manager with the highest IR; set active risk via σA* = (IR/SRB)σB 1 by blending with the benchmark.
  5. 'Constraints', 'long-only', 'cannot short' in a vignette → TC < 1, use full 1 fundamental law. 1
  6. 'Correct X% of the time' → IC = 2(X) − 1; quarterly calls → BR = 4, monthly → 12. rbeiset.com · Mentored by Deepak Goyal — CFA, FRM · Noida 08 · Portfolio Management Lacks Tail size, liquidity, correlation spikes Probability of changes Probability (except historical frequency) enario/stress tests, VaR, economic capital active share, scenario analysis re, stress tests, maximum drawdown tch, hedged vs unhedged exposure R, capital at risk, combined scenarios abilities, mismatch, surplus scenarios Remedy Point-in-time data ents) Point-in-time data or reporting-lag assumption Higher t-stat hurdle (≈3.0); cross-validation
  7. Macro model: only surprises (actual − expected) matter; watch sign of sensitivity × surprise.
  8. Active risk components add as variances: active risk² = active factor + active specific.
  9. VaR is a minimum loss: 5% one-tailed → z = 1.65; scale mean by T and σ by √T. B 10. Need average loss beyond VaR → CVaR; change in VaR from weight change → IVaR / MVaR.
  10. Portfolio with options → historical or Monte Carlo VaR, not parametric.
  11. Backtest signals: 'stocks that exist today' = survivorship; 'restated/reported later' = look-ahead; 'tested many models' = data snooping. Page 56 of 59
Subject 9 · 6 tables

9 Ethics & Professional Standards (No formulas — tables & exam signals)

Readings: Code of Ethics · Standards I–VII · case applications

Ethics has no numbered formulas in this sheet. Use the exam signals below and the comparison tables in the downloadable PDF.

★ Exam signals & key rules — Ethics & Professional Standards

  1. Follow the stricter of applicable law and the Code and Standards.
  2. On discovering a violation: approach supervisor/compliance, then dissociate; reporting to regulators not required by Standards.
  3. Mosaic theory: public info + nonmaterial nonpublic info is permitted; analyst conference calls are not public disclosure.
  4. Fair does not mean equal: different service levels OK if disclosed and available to all. 1
  5. Client trades → employer trades → personal (beneficial-owner) trades; family accounts that are clients are treated as clients. 1
  6. Gifts from clients: disclose; gifts contingent on future performance: written employer consent. 1 rbeiset.com · Mentored by Deepak Goyal — CFA, FRM · Noida 09 · Ethics & Professional Standards ds
  7. Supervisor with inadequate compliance procedures: decline supervisory responsibility in writing.
  8. Leaving an employer: may prepare, but must not solicit clients or take t records/models before departure.
  9. Issuer-paid research: flat fee only, not contingent on conclusions, with disclosure.
  10. Significant change in investment process must be disclosed to clients promptly.
  11. Records: firm property; 7-year minimum if no other rule; recreate from public sources at a new firm.
  12. Never reveal exam topics, questions, formulas or weightings; do not link CFA designation to superior performance. Page 59 of 59

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Deepak Goyal, CFA Charterholder — Founder of RBei Classes
Deepak Goyal
CFA Charterholder · Founder, RBei Classes
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Mentored by Deepak Goyal, CFA Charterholder

This CFA Level II 2027 Formula Sheet is mentored by Deepak Goyal, CFA Charterholder, who has been teaching CFA for the last 10 years. RBei Classes students clear exams at a 93% success rate, and many have passed CFA with top percentiles.

Every CFA session at RBei Classes is taught by him personally — not junior or outsourced faculty — so candidates get formula intuition, trap spotting and concept-first teaching from a dual CFA & FRM charterholder.

  • 10 years of CFA teaching experience
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  • Many students passed CFA with top percentiles
  • Dual CFA & FRM charterholder; teaches every session personally
FAQ

Formula sheet — questions

It is an RBei Classes all-subjects formula sheet for CFA Level II 2027 with 491 formulas across 10 subjects, comparison tables, and exam signals & key rules. Mentored by Deepak Goyal, CFA & FRM.
Learn the Where line first so every symbol is clear. Focus on Use / trap lines — most Level II misses are concept traps, not algebra. Use comparison tables for same-day revision of lookalike formulas. Ethics has no formulas — memorize the tables and exam signals.
Quantitative Methods, Economics, Financial Statement Analysis, Corporate Issuers, Equity Valuation, Fixed Income, Derivatives, Alternative Investments, Portfolio Management, and Ethics & Professional Standards.
Click any Download PDF button on this page, submit the CFA enquiry form, and the full formula sheet PDF downloads after a successful submission.

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Disclaimer: Compiled by RBei Classes (Rajbala Educational Institution Pvt. Ltd.), Noida · rbeiset.com. CFA Institute does not endorse, promote or warrant the accuracy or quality of this material. CFA® and Chartered Financial Analyst® are trademarks owned by CFA Institute. Formulas and notes are summarised for exam revision from the CFA Program Level II curriculum and RBei Classes teaching materials. Check exam dates, fees and topic weights on cfainstitute.org. RBei Classes is an independent coaching provider and is not affiliated with, endorsed by, or a recognised prep provider of CFA Institute.

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RBei Classes Student Success on LinkedIn

RBei Classes, an FRM & CFA coaching institute founded in 2018 by Deepak Goyal (CFA & FRM charterholder), has trained thousands of students who share their results publicly on LinkedIn. The 13 posts below are a sample of RBei Classes students announcing verified CFA and FRM passes — public, name-attributed proof of outcomes.

Key Takeaways

  • RBei Classes students publicly share verified CFA and FRM results on LinkedIn, with name and profile attached.
  • The 13 posts shown are a sample of the thousands of students trained by RBei Classes since 2018.
  • Outcomes span CFA Level 1, CFA Level 2 prep, and FRM Part 1 & 2.
  • Coaching is led by Deepak Goyal, CFA & FRM charterholder, founder of RBei Classes.

Last updated: June 2026 · Reviewed by: Deepak Goyal, CFA & FRM charterholder, founder of RBei Classes · Public LinkedIn posts shared by RBei Classes students.

Verified Student Feedback

RBei Classes Reviews — Verified FRM & CFA Student Results

RBei Classes, an FRM & CFA coaching institute founded in 2018 by Deepak Goyal (CFA & FRM charterholder), has trained thousands of students since 2018 and holds a 4.9 / 5 aggregate rating across review platforms. The five WhatsApp screenshots below are a small sample of unedited student messages, confirming passes in CFA Level 1 and FRM Part 2 between March 2023 and April 2024.

  • Neha Anna · Passed CFA Level 1 · Apr 2024
  • Gilles · Cleared CFA Level 1 · Jan 2024
  • Anjali Sawa · Passed FRM Part 2
  • Anshul Sharma · Cleared FRM Part 2 · Aug 2023
  • Chavi Mehta · Passed CFA Level 1 · Mar 2023

Key Takeaways

  • RBei Classes has trained thousands of students since 2018 and holds a 4.9/5 aggregate rating across review platforms.
  • Verified students cleared CFA Level 1, CFA Level 2 prep, and FRM Part 1 & 2 between 2018 and 2026.
  • All reviews are unedited WhatsApp messages shared with student consent.
  • Coaching is led by Deepak Goyal, CFA & FRM charterholder, founder of RBei Classes.

Last updated: June 2026 · Reviewed by: Deepak Goyal, CFA & FRM charterholder, founder of RBei Classes · Screenshots shared with student consent.

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