CAPM
Finance 100
Prof. Michael R. Roberts
Copyright © Michael R. Roberts 1
Topic Overview z Investing with a risk-free asset » Borrowing and lending » The market portfolio » The Capital Market Line (CML) z The Capital Asset Pricing Model (CAPM) » The Security Market Line (SML) »Beta » Project analysis z Alternative Models
Copyright © Michael R. Roberts 2
1 1 Efficient Portfolios with Multiple Risky Assets
Investors Efficient E[r] prefer Frontier
Portfolios Asset 1 of other Portfolios of assets Asset 2 Asset 1 and Asset 2
Minimum-Variance Portfolio
Copyright © Michael R. Roberts 3
Introducing a Risk-Free Asset z Suppose we introduce the opportunity to invest in a riskfree asset. » How does this alter investors’ portfolio choices? z The riskfree asset is characterized by
» Zero variance: var(rf) = 0. » Zero covariance with all assets: cov(rf, rj) = 0 for all j. z What is the expected return and variance of a portfolio consisting of a fraction (1-α) of the riskfree asset and a fraction α of the risky asset (or portfolio of risky assets)?
Copyright © Michael R. Roberts 4
2 2 Risk and Return with a Risk-Free Asset
z Expected Return
Er[ Pj] =+−αα Er[ ] (1 ) r f z Variance and Standard Deviation
222 Var[] rPP==σ ασ j ⇒= σ P ασ j z Hence, the risk-return tradeoff is:
(E[rj ]− rf ) E[]rP = rf + σ P σ j » The slope is called the Sharpe-Ratio
Copyright © Michael R. Roberts 5
Risk and Return with a Risk-Free Asset An Illustration
Expected Return z The line represents all portfolios Asset j (α=1) depending on α
E(rj)
rf Riskfree asset (α=0)
Lending Borrowing Standard Deviation 0 σj
Copyright © Michael R. Roberts 6
3 3 Portfolios with the Risky Asset
Line 3 Expected
Return Line 2 T
Line 1 IBM
r f Dow Utility Index
Standard Deviation
Copyright © Michael R. Roberts 7
z The Capital Market Line (CML) gives the tradeoff between risk and return for portfolios consisting of the riskfree asset and the tangency portfolio T. The equation for the CML is:
Er()Tf− r Er()pfp=+ r σ σ T » Tangency portfolio has the highest Sharpe ratio of any portfolio z CML is the new efficient frontier » Tangency portfolio is the efficient portfolio of risky assets z Every investor should be on the CML » Preferences will determine where on the CML
Copyright © Michael R. Roberts 8
4 4 Decomposition of Risk
Line 3 Expected Return T Line 1 A IBM
r f
Systematic Diversifiable Standard Risk Risk Deviation
Copyright © Michael R. Roberts 9
Decomposition of Return
Expected Line 3 Return P
T
E(rM ) − rf σ p σ M
r f
r f
σ Standard P Deviation
Copyright © Michael R. Roberts 10
5 5 What is the Tangency Portfolio?
z To identify the tangency portfolio, we need for every risky investment » expected returns, » volatilities, and » correlations. z But, these quantities are tough to forecast and different people may have different beliefs » How can we identify the “T” portfolio? z This is where the CAPM comes in » It let’s us identify the efficient portfolio (“T”) without knowledge of the expected return of each security.
Copyright © Michael R. Roberts 11
The CAPM
z Assume: » Investors can buy and sell all securities at competitive market prices (no taxes, transaction costs), and borrow and lend at the risk-free interest rate » Investors hold only efficient portfolios of traded securities – portfolios yielding the maximum expected return for a given level of volatility » Investors have homogenous expectations regarding the expected returns, volatilities, and correlations of securities. z Then, » All investors will identify the same portfolio as having the highest Sharpe return (homogenous expectations) » All investors will hold this same portfolio (hold only efficient portfolios) » Since everybody security is owned by someone, the sum of all investor’s portfolios must equal the portfolio of all risky securities, i.e., The Market Portfolio! – This is just demand (all investors demand eff. portfolio) = supply (market portfolio)
Copyright © Michael R. Roberts 12
6 6 The CAPM (Cont.)
z The CAPM tells us that the market is the efficient portfolio, which everyone is holding z Thus, the relevant measure of risk of an asset is no longer volatility but covariation with the market
Cov (rj , rM ) » Which implies that the return per unit of risk is simply the ratio:
E (r j )− r f
Cov ()r j , rM z This measure must be the same for all assets! Er( ) − r Er( ) − r Af> Bf Cov( rAM,, r ) Cov( rBM r ) » Consider what would happen if this was not the case…
Copyright © Michael R. Roberts 13
Security Market Line
z If the risk-return tradeoff is the same for all assets, then it is equal to that of the market: Er( ) − r Er( ) − r Er( ) − r Af= Bf= Mf Cov( rAM,, r ) Cov( rBM r ) Var( rM ) z This relation enables us to derive the relation between risk and expected return for individual stocks and portfolios called the Security Market Line (SML)
Cov( rAM, r ) Er( Af) =+ r (Er()Mf − r) =+ r fAMfβ ( Er() − r) Var() rM where
Cov( rAM, r ) βA = Var() rM
Copyright © Michael R. Roberts 14
7 7 Capital Asset Pricing Model
z Under the CAPM assumptions of » Investors can buy and sell all securities at competitive market prices (no taxes, transaction costs), and borrow and lend at the risk-free interest rate » Investors hold only efficient portfolios of traded securities – portfolios yielding the maximum expected return for a given level of volatility » Investors have homogenous expectations regarding the expected returns, volatilities, and correlations of securities. we get the following conclusions: 1. The market portfolio is the efficient (tangency) portfolio » Best return-volatility combinations lie on the CML (supply = demand) 2. The risk premium for any security is proportional to its beta with the market »SML
Copyright © Michael R. Roberts 15
Capital Asset Pricing Model Illustration
Expected Return
Expected Market Return Expected market risk premium
Risk free rate
0 0.5 1.0 Beta Expected Risk free Beta Expected market = + x return rate factor risk premium
Copyright © Michael R. Roberts 16
8 8 CML vs SML
E ( r ) − r E ( r ) = r + σ M f p f p E (rA ) = rf + β A (E (rM )− rf ) σ M E(r) CML E(r)
SML
MM E(rM ) E(r ) IBM IBM
rf rf
σ IBM,M/σ M σ M σ IBM σββ IBM 1.0
Copyright © Michael R. Roberts 17
The SML and Mispriced Stocks
z Suppose for a particular stock:
Cov( rjM, r ) Er( jf) <+ r []Er( Mf) − r Var( rM )
z Remember the definition of expected returns:
11 0 EP( jjj+− D) P Er( j ) = 0 Pj
z Then P0 falls, so that E(rj) increases until disequilibrium vanishes and the equation holds!
Copyright © Michael R. Roberts 18
9 9 The SML and Mispriced Stocks
Expected Return z Stock j is overvalued at X:
Y » price drops, » expected return rises. X z Stock j is E(r )-r M f undervalued at Y: rf » price increases » expected return falls
βj β=1 Copyright © Michael R. Roberts 19
Alpha
z Alpha is the difference between a stock’s expected return and its required return according to the SML ⎡ ⎤ αβssfsMf=−+Er( ) ( r⎣ Er( ) − r⎦) z Non-zero alpha implies that the market portfolio is inefficient and not all stocks lie on the SML
Copyright © Michael R. Roberts 20
10 10 Alpha Illustration
Copyright © Michael R. Roberts 21
Using Regression Analysis to Measure Beta Excess Returns for Cisco and S&P500
Copyright © Michael R. Roberts 22
11 11 Using Linear Regression to Estimate Beta
z The regression model is:
(Rrif −=+ ) αβ i iMktf( R −+ r) ε i
» αi is the intercept term of the regression. » βi(RMkt –rf) represents the sensitivity of the stock to market risk.
» εi is the error term and represents the deviation from the best-fitting line and is zero on average. z Given data for rf , Ri , and RMkt , statistical packages for linear regression can estimate βi. » Use S&P500 as proxy for market » Use yields on long-term treasury bonds as proxy for risk-free » Use 5-years of monthly or 2 years of weekly returns data
Copyright © Michael R. Roberts 23
Using Linear Regression to Estimate Beta (Cont.) z Taking expectations ER[] =+ r β ([ ER ] − r) + α ifiMktf N i Expected return for i from the SML Distance above / below the SML
» Since E[εi] = 0: » αi represents a risk-adjusted performance measure for the historical returns.
»If αi is positive, the stock has performed better then predicted by the CAPM.
»If αi is negative, the stock’s historical return is below the SML.
Copyright © Michael R. Roberts 24
12 12 Variance Decomposition z Recall the regression model:
(Rrif −=+ ) αβ i iMktf( R −+ r) ε i z What does this relation imply about the variance of the asset return? Var(RR )=+β 2 Var Var ε ii ( M) ( i) Market Firm-Specific Risk Risk
Copyright © Michael R. Roberts 25
Beta and Standard Deviation
2 Var(RRii )=+β Var( M) Var (ε i)
Risk of a Market risk Specific risk =+ Share (Variance) of the share of the share
Beta of Risk of This is the major share x market element of a share's risk
Risk of a Market risk of Specific risk of portfolio =+the the portfolio portfolio
Beta of Risk of This is negligible Portfolio x market for a diversified portfolio
Copyright © Michael R. Roberts 26
13 13 Beta and Volatility
Company beta (β) SD (σi) Specific Risk (σε) Cisco Systems 1.60 0.46 0.32 Citicorp 1.40 0.33 0.17 Digital Equipment Corp. 1.20 0.48 0.42 Duke Power 0.75 0.42 0.39 General Motors 1.10 0.29 0.19 IBM 1.05 0.34 0.27 Microsoft 1.20 0.43 0.36 Nationsbank Corp. 1.25 0.27 0.09 NIKE 1.05 0.40 0.34 Northwest National Gas 0.45 0.24 0.22 Space Labs Medical 0.80 NA NA
Copyright © Michael R. Roberts 27
Portfolio Betas and Expected Returns Example z What is the beta and expected rate of return of an equally-weighted portfolio consisting of Exxon (beta = 0.46) and Polaroid (beta = 0.96)?
z How would you construct a portfolio with the same beta and expected return, but with the lowest possible standard deviation ?
z Use the figure on the following page to locate the equally-weighted portfolio of Exxon and Polaroid. Also locate the minimum variance portfolio with the same expected return.
Copyright © Michael R. Roberts 28
14 14 Example Illustration
E(r) E(r) CML SML
M M 13.8% 13.8%
11.3%
5.2% 5.2%
σM σβ0.71 1.0
Copyright © Michael R. Roberts 29
Efficient Portfolio Example
z The S&P500 Index has a standard deviation of about 12% per year. z Gold mining stocks have a standard deviation of about 24% per year and a correlation with the S&P500 of about ρ = 0.15. z If the yield on U.S. Treasury bills is 5.2% and the
market risk premium is [E(rM)-rf] = 8.6%, what is the expected rate of return on gold mining stocks?
Copyright © Michael R. Roberts 30
15 15 Efficient Portfolio Example (Cont.)
z What is the beta for gold mining stocks?
z What is the expected rate of return on gold mining stocks ?
z What portfolio has the same expected return as gold mining stocks, but the lowest possible standard deviation?
Copyright © Michael R. Roberts 31
Illustration Example (Cont.)
E(r) E(r) CML SML
M 13.8% M 13.8%
P Gold M. 7.8% 7.8%
5.2% 5.2%
3.6% 24% σβ0.3 1.0
Copyright © Michael R. Roberts 32
16 16 Using the CAPM for Project Valuation Example z Suppose Microsoft is considering an expansion of its current operations. » Initial cost = $100 million » Future net cash flow = $25 million per year for 20 years. » If Microsoft’s equity beta is 1.2, what is the appropriate risk-adjusted discount rate for the expansion project if the market risk premium is 8.6% and the risk-free rate is 5.2%?
» What is the NPV of Microsoft’s investment project?
Copyright © Michael R. Roberts 33
Company Risk vs Project Risk z The company-wide discount rate is the appropriate discount rate for evaluating investment projects that have the same risk as the firm as a whole. z For investment projects that have different risk from the firm’s existing assets, the company-wide discount rate is not the appropriate discount rate. z In these cases, we must rely on industry betas for estimates of project risk.
Copyright © Michael R. Roberts 34
17 17 Company Risk vs Project Risk Example z Suppose Microsoft is considering investing in the development of a new airline. » What is the appropriate risk-adjusted discount rate for evaluating the project if the airline industry beta = 1.8 ? (Recall: rf = 5% and rM = 13.6%)
» Suppose the project offers a 17% internal rate of return. Is the investment a good one for Microsoft ?
Copyright © Michael R. Roberts 35
Company Risk vs Project Risk Illustration
Required Return SML
Project-specific Discount Rate Project IRR A
Company-wide Discount Rate
Company Beta Project Beta β
Copyright © Michael R. Roberts 36
18 18 Some Estimates of Beta
Copyright © Michael R. Roberts 37
Project Valuation Rules
z Risk of an investment project is given by the project’s beta. » Can be different from company’s beta » Can often use industry as approximation z The SML provides an estimate of an appropriate discount rate for the project based upon the project’s beta. » Same company may use different discount rates for different projects » Must account for effect of leverage…later z This discount rate is used when computing the project’s net present value.
Copyright © Michael R. Roberts 38
19 19 Alternative Models of Systematic Risk z If the market portfolio is efficient then securities should have zero alphas z Researchers have identified a number of characteristics that can used to “pick” portfolios that produce high average returns (i.e., positive alpha)
Copyright © Michael R. Roberts 39
The Size Effect Excess Return of Size Portfolios 1926-2005 z Stocks with lower market caps have higher average returns
Copyright © Michael R. Roberts 40
20 20 The Book-to-Market (BM) Ratio Excess Return of BM Portfolios 1926-2005 z Stocks with higher BM ratios have higher average returns
Copyright © Michael R. Roberts 41
Momentum Strategy z Buying stocks that have had past high returns (and shorting stock that have had past low returns) z If market portfolio is efficient, past returns should not predict future returns (or alphas) z Research shows that this strategy generates alpha
Copyright © Michael R. Roberts 42
21 21 Implications of Positive Alpha
z If the CAPM is correct Æ investment with positive alpha is a positive NPV investment and investors should RUN to such strategies z The existence of positive alpha suggests: » Investors are systematically ignoring positive NPV investments (i.e., arbitrage opportunities) – They either don’t know about the opportunities or, – The costs to implement the strategies are greater than the NPV of undertaking them » Positive alpha strategies contain risk that investors are unwilling to bear but the CAPM does not capture – I.e., market portfolio is inefficient
Copyright © Michael R. Roberts 43
Summary z Optimal investments depend on trading off risk and return » Investors with higher risk tolerance invest more in risky assets » Only risk that can’t be diversified counts z If investors can borrow and lend, then everybody holds a combination of two portfolios » The market portfolio of all risky assets » The riskless asset – Covariance with the market portfolio counts z In equilibrium, all stocks must lie on the security market line » Beta measures the amount of non-diversifiable risk » Expected returns reflect only market risk » Use these as required returns in project evaluation z Multifactor models represent a controversial extension
Copyright © Michael R. Roberts 44
22 22