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Risk, Return, and CAPM Professor Dr. Rainer Stachuletz Corporate Finance Berlin School of Economics and Law Berlin, 04.01.2006 Fußzeile 1 Expected Returns Decisions must be based on expected returns Methods used to estimate expected return Historical approach Probabilistic approach Risk-based approach Berlin, 04.01.2006 Fußzeile 2 Historical Approach for Estimating Expected Returns Assume that distribution of expected returns will be similar to historical distribution of returns. Using 1900-2003 annual returns, the average risk premium for U.S. stocks relative to Treasury bills is 7.6%. Treasury bills currently offer a 2% yield to maturity Expected return on U.S. stocks: 7.6% + 2% = 9.6% Can historical approach be used to estimate the expected return of an individual stock? Berlin, 04.01.2006 Fußzeile 3 Historical Approach for Estimating Expected Returns Assume General Motors long-run average return is 17.0%. Treasury bills average return over same period was 4.1% GM historical risk premium: 17.0% - 4.1% = 12.9% GM expected return = Current Tbill rate + GM historical risk premium = 2% + 12.9% = 14.9% Limitations of historical approach for individual stocks Berlin, 04.01.2006 May reflect GM’s past more than its future Many stocks have a long history to forecast expected return Fußzeile 4 Probabilistic Approach for Estimating Expected Returns Identify all possible outcomes of returns and assign a probability to each possible outcome: For example, assign probabilities for possible states of economy: boom, expansion, recession and project the returns of GM stock for the three states Outcome Probability GM Return Recession 20% -30% Expansion 70% 15% Boom 10% 55% GM Expected Return = 0.20(-30%) + 0.70(15%) +0.10(55%) = 10% Berlin, 04.01.2006 Fußzeile 5 Risk-Based Approach for Estimating Expected Returns 1. Measure the risk of the asset 2. Use the risk measure to estimate the expected return 1. Measure the risk of the asset • Systematic risks simultaneously affect many different assets • Investors can diversify away the unsystematic risk • Market rewards only the systematic risk: only systematic risk should be related to the expected return How can we capture the systematic risk component of a stock’s volatility? Berlin, 04.01.2006 Fußzeile 6 Risk-Based Approach for Estimating Expected Returns Collect data on a stock’s returns and returns on a market index Plot the points on a scatter plot graph - Y–axis measures stock’s return - X-axis measures market’s return Plot a line (using linear regression) through the points Slope of line equals beta, the sensitivity of a stock’s returns relative to changes in overall market returns Beta is a measure of systematic risk for a particular security. Berlin, 04.01.2006 Fußzeile 7 Scatter Plot for Returns on Sharper Image and S&P 500 30% Slope = Beta = 1.44 20% 10% 0% -30% -20% -10% 0% 10% 20% 30% -10% -20% -30% S&P 500 weekly returns Berlin, 04.01.2006 Fußzeile 8 Scatter Plot for Returns ConAgra and S&P 500 15% 10% 5% Beta = 0.11 0% -15% -10% -5% 0% 5% 10% 15% -5% -10% -15% S&P 500 weekly returns Berlin, 04.01.2006 Fußzeile 9 Risk-Based Approach for Estimating Expected Returns Capital Average Market Line Return Individual Stock A: rM cov A ,M CAPM Rf Slope CML: r M rf M2 s2 M Berlin, 04.01.2006 Risk Fußzeile 10 The Security Market Line E(RP) SML A - Undervalued • •A RM • RF B • • Slope = E(Rm) - RF = Market Risk Premium • B - Overvalued • =1.0 Berlin, 04.01.2006 i Fußzeile 11 Risk-Based Approach for Estimating Expected Returns 2. Use the risk measure to estimate the expected return: • Plot beta against expected return for two assets: - A risk-free asset that pays 4% with certainty, with zero systematic risk and - An “average stock”, with beta equal to 1, with an expected return of 10%. • Draw a straight line connecting the two points. • Investors holding a stock with beta of 0.5 or 1.5, for example, can find the expected return on the line. Beta measures systematic risk and links the risk and expected return of an asset. Berlin, 04.01.2006 Fußzeile 12 Risk and Expected Returns Security Market Line 18% • 14% • 10% • 4% • Expected returns • • ß = 1.5 “average” stock Risk-free asset • 0.2 • 0.4 • 0.6 • 0.8 • 1 • 1.2 • 1.4 • 1.6 • 1.8 • 2 Beta What is the expected return for stock with beta = 1.5 ? Berlin, 04.01.2006 Fußzeile 13 Estimating the Risk Free Rate UK INTEREST RATES Feb 17 Treasury Bills OverNight One month Three months 43/4 – 411/16 425/32-423/32 7 days notice Two prices are quoted, quoted, Two for one sellingare forprices one for selling one forTake middle theone buying. middle the Take buying. value value Extract of UK interest rate data from the Financial Times (17 February, 2005) 14 Six months One Year The Steps Towards the Estimation of Beta Using Ordinary Least Squares Regression 15 The Security Market Line 16 Arbitrage Drivers and the Linearity of the Security Market Line 17 Portfolio Expected Returns How does the expected return of a portfolio relate to the expected returns of the securities in the portfolio? The portfolio expected return equals the weighted average of the portfolio assets’ expected returns Expected return of a portfolio with N securities E(Rp) = w1E(R1)+ w2E(R2)+…+wnE(Rn) • w1, w2 , … , wn : portfolio weights • E(R1), E(R2), …, E(RN): expected returns of securities Berlin, 04.01.2006 Fußzeile 18 Portfolio Expected Returns Portfolio E(R) $ Invested Weights IBM 10% $2,500 0.125 GE 12% $5,000 0.25 Sears 8% $2,500 0.125 Pfizer 14% $10,000 0.5 E (Rp) = w1 E (R1)+ w2 E (R2)+…+wn E (Rn) E (Rp) = (0.125) (10%) + (0.25) (12%) + (0.125) (8%) + (0.5) (14%) = 12.25% Berlin, 04.01.2006 Fußzeile 19 Portfolio Risk Portfolio risk is the weighted average of systematic risk (beta) of the portfolio constituent securities. Portfolio Beta $ Invested Weights IBM 1.00 $2,500 0.125 GE 1.33 $5,000 0.25 Sears 0.67 $2,500 0.125 Pfizer 1.67 $10,000 0.5 ß P = (0.125) (1.00) + (0.25) (1.33) + (0.125) (0.67) + (0.50) (1.67) = 1.38 But portfolio volatility is not the same as the weighted average of all portfolio security volatilities Berlin, 04.01.2006 Fußzeile 20 Security Market Line Portfolio composed of the following two assets: • An asset that pays a risk-free return Rf, , and • A market portfolio that contains some of every risky asset in the market. Portfolio E(R) Beta Risk-free asset Rf 0 Market portfolio E(Rm) 1 Security market line: The line connecting the risk-free asset and the market portfolio Berlin, 04.01.2006 Fußzeile 21 The Security Market Line Plots relationship between expected return and betas In equilibrium, all assets lie on this line. • If • If - Berlin, 04.01.2006 individual stock or portfolio lies above the line: Expected return is too high. Investors bid up price until expected return falls. individual stock or portfolio lies below SML: Expected return is too low. Investors sell stock driving down price until expected return rises. Fußzeile 22 Efficient Markets Efficient market hypothesis (EMH): in an efficient market, prices rapidly incorporate all relevant information Financial markets much larger, more competitive, more transparent, more homogeneous than product markets Much harder to create value through financial activities Changes in asset price respond only to new information. This implies that asset prices move almost randomly. Berlin, 04.01.2006 Fußzeile 23 Efficient Markets If asset prices unpredictable, then what is the use of CAPM? CAPM gives analyst a model to measure the systematic risk of any asset. On average, assets with high systematic risk should earn higher returns than assets with low systematic risk. CAPM offers a way to compare risk and return on investments alternatives. Berlin, 04.01.2006 Fußzeile 24 Risk, Return, and CAPM • Decisions should be made based on expected returns. • Expected returns can be estimated using historical, probabilistic, or risk approaches. • Portfolio expected return/beta equals weighted average of the expected returns/beta of the assets in the portfolio. • CAPM predicts that the expected return on a stock depends on the stock’s beta, the risk-free rate and the market premium. Berlin, 04.01.2006 Fußzeile 25