CMA Final · Strategic Financial Management
Asset Pricing Theories: formula sheet
Key formulas
- CAPM expected return
- E(Ri) = Rf + βi × (Rm − Rf)
- Gives the required return for the security. Use the same basis (annual, in %) for all inputs.
- Market risk premium
- Market risk premium = Rm − Rf
- If the question gives the premium directly, do not subtract Rf again.
- Beta
- β = Cov(Ri, Rm) ÷ σm² = ρim × σi ÷ σm
- Use when covariance, correlation or standard deviations are given.
- Portfolio beta
- βp = Σ (wi × βi)
- Weights are the proportion of portfolio value in each security and should add to 1.
- Security Market Line test
- Expected return > CAPM return: underpriced (buy). Expected return < CAPM return: overpriced (sell).
- Compare the return you expect from the security with the CAPM required return.
- Alpha (excess return)
- α = Expected return − CAPM required return
- A positive alpha means the security plots above the SML.
- Capital Market Line
- E(Rp) = Rf + [(E(Rm) − Rf) ÷ σm] × σp
- σp is the standard deviation of the efficient portfolio; σm is the market's standard deviation.
- Slope of CML
- (E(Rm) − Rf) ÷ σm
- Market price of risk per unit of total risk.
- Security Market Line (CAPM)
- E(Ri) = Rf + βi × (E(Rm) − Rf)
- Gives the required return for a security with beta βi.
- Market risk premium
- E(Rm) − Rf
- This is the slope of the SML.
- Alpha / valuation test
- α = Expected return − Required return (from SML)
- α > 0: undervalued (buy). α < 0: overvalued (sell). α = 0: fairly priced.
- Beta
- βi = Cov(Ri, Rm) ÷ σm² = ρim × σi ÷ σm
- Measures systematic risk.
- Beta from covariance
- β = Cov(Rs, Rm) ÷ σm²
- σm² is the variance of market returns. Use the same type of variance (sample or population) in both numerator and denominator.
- Beta from correlation
- β = r(s,m) × σs ÷ σm
- Use when correlation and standard deviations are given instead of covariance.
- Regression (characteristic line)
- Rs = α + β × Rm + e
- β is the slope. The error term e represents unsystematic return.
- Beta from paired data
- β = [nΣXY − ΣXΣY] ÷ [nΣX² − (ΣX)²]
- X = market return, Y = stock return. Do not swap them.
- Systematic and unsystematic variance
- Systematic variance = β² × σm²; Unsystematic variance = σs² − β² × σm²
- Also systematic share of total risk = r² (coefficient of determination).
- Portfolio beta
- βp = Σ (wi × βi)
- Weights are based on market value invested and must add up to 1. Include a risk-free asset with β = 0 if held.
- CAPM expected return
- E(Ri) = Rf + βi × (Rm − Rf)
- Gives the required return for a given beta.
- APT expected return (multi-factor)
- E(Rᵢ) = Rf + β₁ × RP₁ + β₂ × RP₂ + … + βₙ × RPₙ
- Rf is the risk-free rate. RPₖ is the risk premium of factor k, that is, the expected return on a portfolio with beta 1 to factor k and 0 to others, minus Rf. Use the premium directly if given.
- APT using factor expected returns
- E(Rᵢ) = Rf + Σ βₖ × (E(Fₖ) − Rf)
- Use when the question gives the expected return of each factor portfolio, not the premium. Subtract Rf from each factor return first.
- Actual return under factor model
- Rᵢ = E(Rᵢ) + β₁ × (F₁ − E(F₁)) + β₂ × (F₂ − E(F₂)) + … + ε
- Surprises in factors move the actual return away from expected. ε is the firm-specific term, which is assumed to be zero for a well-diversified portfolio.
- Portfolio beta and return
- βₚ,ₖ = Σ wᵢ × βᵢ,ₖ ; E(Rₚ) = Σ wᵢ × E(Rᵢ)
- Weights wᵢ sum to 1. Portfolio factor betas are weighted averages of security betas.
- Single-factor APT
- E(Rᵢ) = Rf + βᵢ × (E(Rm) − Rf)
- With one factor being the market, APT looks like CAPM. This is a special case.
- Arbitrage test
- Mispricing = Given expected return − APT expected return
- Positive means underpriced: buy. Negative means overpriced: sell or short.
- Random walk
- Pt = Pt-1 + expected change + random error
- The error is unpredictable and independent of past changes. Past price changes cannot predict the next change.
- Abnormal return
- Abnormal return = Actual return − Expected (required) return
- EMH tests ask whether abnormal returns can be earned repeatedly using a given information set.
- Nested information sets
- Weak (past prices) ⊂ Semi-strong (all public) ⊂ Strong (all public + private)
- Use this to decide what each form rules out.
- Fama-French three-factor model
- E(Ri) = Rf + βm × (Rm − Rf) + βs × SMB + βh × HML
- Rm − Rf is the market risk premium. SMB and HML are the average factor premiums. βs and βh are the stock's loadings.
- General multifactor model
- E(Ri) = Rf + Σ βk × λk
- βk is the loading on factor k and λk is the risk premium of factor k.
- CAPM (single-factor case)
- E(Ri) = Rf + β × (Rm − Rf)
- Use this for comparison. It is the Fama-French model with the size and value loadings set to zero.
- Factor definitions
- SMB = R(small) − R(big); HML = R(high B/M) − R(low B/M)
- Both are long-short portfolio returns. B/M is book value to market value.
- Alpha (realised version)
- α = Actual return − Expected return from the model
- Positive alpha suggests the stock earned more than its factor risks justify.
Quick revision
- CAPM: required return = Rf + β × (Rm − Rf).
- (Rm − Rf) is the market risk premium.
- Beta measures systematic risk only; diversification removes unsystematic risk.
- Market beta is 1; a risk-free asset has beta 0.
- Portfolio beta is the weighted average of the betas of its securities.
- Beta of a security = Cov(security, market) ÷ Variance of market.
- SML plots required return against beta and applies to individual securities and portfolios.
- CML plots return against total risk (standard deviation) and applies to efficient portfolios only.
- A share above the SML is undervalued, and one below it is overvalued.
- APT lets several factors drive returns and rests on no-arbitrage; it does not name the factors.
- EMH has three forms: weak, semi-strong and strong.
- Fama-French adds size and value factors to the market factor.
Common mistakes
- Multiplying beta by Rm instead of by (Rm − Rf). Fix: Always compute the premium first. Then check: beta 1 must give Rm.
- Subtracting Rf again when the question already gives the market risk premium. Fix: Underline the words 'premium' or 'excess return' in the question. A premium is already Rm − Rf.
- Using beta on the CML or standard deviation on the SML. Fix: Remember: CML uses σ (total risk); SML uses β (systematic risk).
- Using the market return instead of the market risk premium when multiplying by beta. Fix: Always compute Rm − Rf first, then multiply by beta.
- Dividing covariance by market standard deviation instead of variance. Fix: Square σm first. Beta = Cov ÷ σm². Check that the units work: % squared over % squared.
- Using equal weights in portfolio beta. Fix: Weight each beta by the amount invested in that security divided by total portfolio value.
- Using the factor's expected return as the premium without subtracting the risk-free rate. Fix: Read whether the figure is a premium or a total return. If it is a total return on a factor portfolio, subtract Rf first.
- Forgetting to add the risk-free rate at the end. Fix: Write the formula first, with Rf at the front, and tick it off after the final addition.
- Saying that weak form means fundamental analysis cannot work. Fix: Weak form rules out only technical analysis based on past prices and volumes. Fundamental analysis is ruled out only under semi-strong form.
- Saying that random walk means prices are random or have no link to value. Fix: Say that price changes are unpredictable because they follow new information, which is itself unpredictable. Prices still reflect value.
Exam tips
- In Section A, expect a direct substitution question or a test of the meaning of beta. Do the arithmetic carefully because each MCQ carries 2 marks and there is no negative marking.
- In the 14-mark questions CAPM is usually a part of a larger problem such as cost of equity, share valuation or a buy-sell decision. Show the CAPM line clearly, since the later steps depend on it.
- Write the formula before substituting. Step marks are given for the formula and the premium.
- For theory parts, prepare five assumptions and five limitations in crisp one-line points with reasons.
- Always end a security evaluation with a clear recommendation: buy if underpriced, sell or avoid if overpriced.
- Write the axis of each line (σ for CML, β for SML) in the first line of any theory answer. It earns easy marks.
- In a difference question, give three points: risk measure, assets covered, and the equation behind each line.
- In numericals, show the required return calculation separately and then state the buy or sell recommendation.