1. Chapter 7 Capital Asset Pricing and Arbitrage Pricing Theory Copyright © 2010 by The McGraw-Hill Companies, Inc. All rights reserved.McGraw-Hill/Irwin

2. 7-2 7.1 The Capital Asset Pricing Model

3. 7-3 Capital Asset Pricing Model (CAPM) Equilibrium model that underlies all modern financial theory Derived using principles of diversification, but with other simplifying assumptions Markowitz, Sharpe, Lintner and Mossin are researchers credited with its development

4. 7-4 Simplifying Assumptions Individual investors are price takers Single-period investment horizon Investments are limited to traded financial assets No taxes and no transaction costs

5. 7-5 Simplifying Assumptions (cont.) Information is costless and available to all investors Investors are rational mean-variance optimizers Homogeneous expectations

6. 7-6 Resulting Equilibrium Conditions All investors will hold the same portfolio for risky assets; the “market portfolio” Market portfolio contains all securities and the proportion of each security is its market value as a percentage of total market value Market price of risk or return per unit of risk depends on the average risk aversion of all market participants

7. 7-7 E(r) rfrf E(r M ) M CML mm Capital Market Line  M = The value weighted “Market” Portfolio of all risky assets. Efficient Frontier

8. 7-8 Known Tangency Portfolio of CML Equilibrium conditions: All investors will hold the __________________________________________ same portfolio for risky assets; the “market portfolio” Pricing of individual securities is therefore related to the risk that individual securities have when they are included in the market portfolio.

9. 7-9 M= r f = E(r M ) - r f = Slope and Market Risk Premium { Excess return on the market portfolio =Optimal Market price of risk =Slope of the CML Market portfolio Risk free rate →

10. 7-10 Expected Return and Risk on Individual Securities The risk premium on individual securities is a function of the individual security’s __________________________________________ What type of individual security risk will matter, systematic or unsystematic risk? An individual security’s total risk (  2 i ) can be partitioned into systematic and unsystematic risk:  2 i =  i 2  M 2 +  2 (e i ) M = market portfolio of all risky securities contribution to the risk of THE market portfolio

11. 7-11 Expected Return and Risk on Individual Securities Individual security’s contribution to the risk of the market portfolio is a function of the __________ of the stock’s returns with the market portfolio’s returns and is measured by BETA With respect to an individual security, systematic risk can be measured by  i  = [COV(r i,r M )] /  2 M covariance

12. 7-12 E(r) E(r M ) rfrfrfrf SML M ß ß = 1.0 Individual Stocks: Security Market Line Slope SML = = Equation of the SML (CAPM) E(r i ) = r f +  i [E(r M ) - r f ] (E(r M ) – r f )/ β M price of risk for market

13. 7-13 Sample Calculations for SML E(r m ) - r f = r f =  x = 1.25 E(r x ) =  y =.6 E(r y ) = Equation of the SML E(r i ) = r f +  i [E(r M ) - r f ] 0.03 + 1.25(.08) =.13 or 13% 0.03 + 0.6(0.08) = 0.078 or 7.8% If  = 1? If  = 0?.08.03 Return per unit of systematic risk = 8% & the return due to the TVM = 3%

14. 7-14 E(r) SML ß ßMßMßMßM 1.0 R M =11% 3% R x =13% ßxßxßxßx 1.25 R y =7.8% ßyßyßyßy.6.08 Graph of Sample Calculations If the CAPM is correct, only β risk matters in determining the risk premium for a given slope of the SML.

15. 7-15 Suppose a security with a  of ____ is offering an expected return of ____ According to the SML, the E(r) should be _____ 1.25 15% 13% Underpriced: It is offering too high of a rate of return for its level of risk The difference between the return required for the risk level as measured by the CAPM in this case and the actual return is called the stock’s _____ denoted by __ What is the __ in this case? E(r) = 0.03 + 1.25(.08) = 13% Is the security under or overpriced?  = +2% Positive  is good, negative  is bad +  gives the buyer a + abnormal return alpha   13%

16. 7-16 More on Alpha and Beta E(r M )= β S = r f = Required return= r f + β S [E(r M ) – r f ] = If you believe the stock will actually provide a return of ____, what is the implied alpha?  = 5 + 1.5 [14 – 5] = 18.5% 17% 17% - 18.5% = -1.5% 14% 1.5 5% A stock with a negative alpha plots below the SML & gives the buyer a negative abnormal return

17. 7-17 Portfolio Betas β P = If you put half your money in a stock with a beta of ___ and ____ of your money in a stock with a beta of ___and the rest in T-bills, what is the portfolio beta? β P = 0.50(1.5) + 0.30(0.9) + 0.20(0) = 1.02 1.5 30% 0.9  W i β i All portfolio beta expected return combinations should also fall on the SML. All (E(r i ) – rf) / β i should be the same for all stocks.

18. 7-18 Measuring Beta Concept: Method Can calculate the Security Characteristic Line or SCL using historical time series excess returns of the security, and unfortunately, a proxy for the Market portfolio. We need to estimate the relationship between the security and the “Market” portfolio.

19. 7-19 7.2 The CAPM and Index Models

20. 7-20 Security Characteristic Line (SCL) Excess Returns (i).................................................................................................... Excess returns on market index R i =  i + ß i R M + e i Slope =  =  What should  equal? SCL Dispersion of the points around the line measures ______________. The statistic is called  e unsystematic risk

21. 7-21 GM Excess Returns May 00 to April 05 0.5858 (Adjusted) = 33.18% 8.57% -0.01431.276 0.011080.2318 “True”  is between 0.81 and 1.74! If rf = 5% and r m – r f = 6%, then we would predict GM’s return (r GM ) to be 5% + 1.276(6%) = 12.66% 7-21

22. 7-22 Adjusted Betas Adjusted β = = 2/3 (Calculated β) + 1/3 (1) 2/3 (1.276) + 1/3 (1) 1.184 Calculated betas are adjusted to account for the empirical finding that betas different from _ tend to move toward _ over time. A firm with a beta __ will tend to have a ___________________ in the future. A firm with a beta ___ will tend to have a ____________________ in the future. 1 1 lower beta (closer to 1) >1 < 1 higher beta (closer to 1)

23. 7-23 7.3 The CAPM and the Real World

24. 7-24 Evaluating the CAPM The CAPM is “false” based on the ____________________________. – The CAPM could still be a useful predictor of expected returns. That is an empirical question. Huge measurability problems because the market portfolio is unobservable. Conclusion: As a theory the CAPM is untestable. validity of its assumptions

25. 7-25 Evaluating the CAPM However, the __________ of the CAPM is testable. Betas are ___________ at predicting returns as other measurable factors may be. More advanced versions of the CAPM that do a better job at ___________________________ are useful at predicting stock returns. practicality not as useful estimating the market portfolio Still widely used and well understood.

26. 7-26 Evaluating the CAPM –The _________ we learn from the CAPM are still entirely valid. – principles Investors should diversify. Systematic risk is the risk that matters. A well diversified risky portfolio can be suitable for a wide range of investors. The risky portfolio would have to be adjusted for tax and liquidity differences. Differences in risk tolerances can be handled by changing the asset allocation decisions in the complete portfolio. Even if the CAPM is “false,” the markets can still be “efficient.”

27. 7-27 7.4 Multifactor Models and the CAPM

28. 7-28 Fama-French (FF) 3 Factor Model Fama and French noted that stocks of ____________ and stocks of firms with a _________________ have had higher stock returns than predicted by single factor models. – Problem: Empirical model without a theory Will the variables continue to have predictive power? high book to market smaller firms

29. 7-29 Fama-French (FF) 3 factor Model FF proposed a 3 factor model of stock returns as follows: r M – rf = Market index excess return Ratio of ______________________________________ measured with a variable called ____: –HML: High minus low or difference in returns between firms with a high versus a low book to market ratio. _______________ measured by the ____ variable –SMB: Small minus big or the difference in returns between small and large firms. book value of equity to market value of equity HML Firm size variable SMB

30. 7-30 Fama-French (FF) 3 factor Model r GM – rf =α GM + β M (r M – rf ) + β HML r HML + β SMB r SMB + e GM

31. 7-31 Fama-French (FF) 3 factor Model r GM – rf =α GM + β M (r M – rf ) + β HML r HML + β SMB r SMB + e GM 0.6454 (Adjusted) = 38.52% 8.22% -0.0262*1.2029*0.6923*0.3646 0.01160.24110.27490.3327 Compared to single factor model: Better Adjusted R 2 ; lower β M higher E(r), but negative alpha. If rf = 5%, r m – r f = 6%, & return on HML portfolio will be 5%, then we would predict GM’s return (r GM ) to be 5% + -2.62% + 1.2029(6%) + 0.6923(5%) = 13.06%

32. 7-32 7.5Factor Models and the Arbitrage Pricing Theory

33. 7-33 Arbitrage Pricing Theory (APT) Arbitrage: Zero investment: Efficient markets: Arises if an investor can construct a zero investment portfolio with a sure profit Since no net investment outlay is required, an investor can create arbitrarily large positions to secure large levels of profit With efficient markets, profitable arbitrage opportunities will quickly disappear

34. 7-34 Simple Arbitrage Example PortfolioCostFinal Outcome C8 9 (A+B) / 2810 If all of these stocks cost ___ today are there any arbitrage opportunities? Short Buy The A&B combo dominates portfolio C, but costs the same. Arbitrage opportunity: Buy A&B combo and short C, $0 net investment, sure gain of $1 The opportunity should not persist in competitive capital markets. $8

35. 7-35 Arbitrage Pricing Example Suppose Rf = ___ and a well diversified portfolio P has a beta of ___ and an alpha of ___ when regressed against a systematic factor S. Another well diversified portfolio Q has a beta of ___ and an alpha of ___. If we construct a portfolio of P and Q with the following weights: What should α p = ___ 0 6% 1.3 2% 0.9 1% W P = and W Q = ; Then β p = α p = α p = -1.25% means an investor will earn rf – 1.25% or 4.75% on portfolio PQ. In theory one could short this portfolio and pay 4.75%, and invest in the riskless asset and earn 6%, netting the 1.25% difference. Arbitrage should eliminate the negative portfolio alpha quickly. (-2.25 x 1.3) + (3.25 x 0.9) = 0 (-2.25 x 2%) + (3.25 x 1%) = - 1.25% Note: Σ W = 1 -2.25 3.25

36. 7-36 Arbitrage Pricing Model The result: For a well diversified portfolio R p = β p R S (Excess returns) (r p,i – rf) = β p (r S,i – rf) and for an individual security (r p,i – rf) = β p (r S,i – rf) + e i Advantage of the APT over the CAPM: – No particular role for the “Market Portfolio,” which can’t be measured anyway Easily extended to multiple systematic factors, for example (r p,i – rf) = β p,1 (r 1,i – rf) + β p,2 (r 2,i – rf) + β p,3 (r 3,i – rf) + e i R S is the excess return on a portfolio with a beta of 1 relative to systematic factor “S”

37. 7-37 APT and CAPM Cont. In order to actually use this you would need to find 4 well diversified portfolios: Portfolio 1 would have to have a beta of 1 wrt Δ Industrial Production and betas of zero on the other 3 factors. Portfolio 2 would have to have a beta of 1 wrt Δ Yield curve and betas of zeros wrt the other 3 factors. … (r p,i – rf) = β p,1 (r 1,i – rf) + β p,2 (r 2,i – rf) + β p,3 (r 3,i – rf) + β p,4 (r 4,i – rf) + e i APT applies to well diversified portfolios but not necessarily to all individual stocks APT employs fewer restrictive assumptions APT does NOT specify the systematic factors Chen, Roll and Ross (1986) suggest:  Industrial production  Yield curve  Default spreads  Inflation

38. 7-38 Selected Problems

39. 7-39 Problem 1 –E(r X )= –  X = –E(r Y ) = –  Y = 5% + 0.8(14% – 5%) = 12.2% 14% – 12.2% = 1.8% 5% + 1.5(14% – 5%) = 18.5% 17% – 18.5% = –1.5% a. CAPM: E(r i ) = 5% + β(14% -5%) CAPM: E(r i ) = r f + β(E(r M )-r f )

40. 7-40 Problem 1 b.Which stock? i.Well diversified: Relevant Risk Measure? Best Choice? b.Which stock? ii.Held alone: Relevant Risk Measure? Best Choice? β: CAPM Model Stock X with the positive alpha  Calculate Sharpe ratios  X = 1.8%  Y = -1.5%

41. 7-41 Problem 1 b.(continued) Sharpe Ratios ii.Held Alone: Sharpe Ratio X = Sharpe Ratio Y = Sharpe Ratio Index = (0.14 – 0.05)/0.36 = 0.25 (0.17 – 0.05)/0.25 = 0.48 (0.14 – 0.05)/0.15 = 0.60 Better

42. 7-42 Problem 2 E(r P ) = r f +  [E(r M ) – r f ] 20% = 5% +  (15% – 5%)  = 15/10 = 1.5

43. 7-43 Problem 3 E(r P ) = r f +  [E(r M ) – r f ] E(r p ) when double the beta: If the stock pays a constant dividend in perpetuity, then we know from the original data that the dividend (D) must satisfy the equation for a perpetuity: Price = Dividend / E(r) $40 = Dividend / 0.13 At the new discount rate of 19%, the stock would be worth: $5.20 / 0.19 = $27.37 13% = 7% + β (8%) or β = 0.75 E(r P ) = 7% + 1.5(8%) orE(r P ) = 19% so the Dividend = $40 x 0.13 = $5.20

44. 7-44 Problem 4 a. False.  = 0 implies E(r) = r f, not zero. Depends on what one means by ‘volatility.’ If one means the  then this statement is false. Investors require a risk premium for bearing systematic (i.e., market or undiversifiable) risk. False. You should invest 0.75 of your portfolio in the market portfolio, which has β = 1, and the remainder in T-bills. Then:  P = (0.75 x 1) + (0.25 x 0) = 0.75

45. 7-45 Problems 5 & 6 9. 10. Not possible. Portfolio A has a higher beta than Portfolio B, but the expected return for Portfolio A is lower. Possible. Portfolio A's lower expected rate of return can be paired with a higher standard deviation, as long as Portfolio A's beta is lower than that of Portfolio B.

46. 7-46 Problem 7 Calculate Sharpe ratios for both portfolios: Not possible. The reward-to-variability ratio for Portfolio A is better than that of the market, which is not possible according to the CAPM, since the CAPM predicts that the market portfolio is the portfolio with the highest return per unit of risk.

47. 7-47 Problem 8 Need to calculate Sharpe ratios? Not possible. Portfolio A clearly dominates the market portfolio. It has a lower standard deviation with a higher expected return. 8.

48. 7-48 Problem 9 9. Given the data, the SML is: E(r) = 10% +  (18% – 10%) A portfolio with beta of 1.5 should have an expected return of: E(r) = 10% + 1.5(18% – 10%) = 22% Not Possible: The expected return for Portfolio A is 16% so that Portfolio A plots below the SML (i.e., has an  = –6%), and hence is an overpriced portfolio. This is inconsistent with the CAPM.

49. 7-49 Problem 10 The SML is the same as in the prior problem. Here, the required expected return for Portfolio A is: 10% + (0.9  8%) = 17.2% Not Possible: The required return is higher than 16%. Portfolio A is overpriced, with  = –1.2%. E(r) = 10% +  (18% – 10%)

50. 7-50 Problem 11 Sharpe A = Sharpe M = Possible: Portfolio A's ratio of risk premium to standard deviation is less attractive than the market's. This situation is consistent with the CAPM. The market portfolio should provide the highest reward-to-variability ratio. (16% - 10%) / 22% =.27 (18% - 10%) / 24% =.33

51. 7-51 Problem 12 Since the stock's beta is equal to 1.0, its expected rate of return should be equal to ______________________. E(r) = 0.18 = or P 1 = $109 the market return, or 18%

52. 7-52 Problem 13 b. r 1 = 19%; r 2 = 16%;  1 = 1.5;  2 = 1.0 We can’t tell which adviser did the better job selecting stocks because we can’t calculate either the alpha or the return per unit of risk. r 1 = 19%; r 2 = 16%;  1 = 1.5;  2 = 1.0, rf = 6%; r M = 14%  1 =  2 = The second adviser did the better job selecting stocks (bigger + alpha) 19% – 16% – 19% – 18% = 1% 16% – 14% = 2% CAPM: r i = 6% + β(14%-6%) [6% + 1.5(14% – 6%)] = [6% + 1.0(14% – 6%)] =

53. 7-53 Problem 13 c. r 1 = 19%; r 2 = 16%;  1 = 1.5;  2 = 1.0, rf = 3%; r M = 15%  1 =  2 = Here, not only does the second investment adviser appear to be a better stock selector, but the first adviser's selections appear valueless (or worse). 19% – [3% + 1.5(15% – 3%)] = 16% – [3%+ 1.0(15% – 3%)] = 19% – 21% = –2% 16% – 15% = 1% CAPM: r i = 3% + β(15%-3%)

54. 7-54 Problem 14 a. b. McKay should borrow funds and invest those funds proportionally in Murray’s existing portfolio (i.e., buy more risky assets on margin). In addition to increased expected return, the alternative portfolio on the capital market line (CML) will also have increased variability (risk), which is caused by the higher proportion of risky assets in the total portfolio. McKay should substitute low beta stocks for high beta stocks in order to reduce the overall beta of York’s portfolio. Because York does not permit borrowing or lending, McKay cannot reduce risk by selling equities and using the proceeds to buy risk free assets (i.e., by lending part of the portfolio).

55. 7-55 Problem 15 i. ii. Since the beta for Portfolio F is zero, the expected return for Portfolio F equals the risk-free rate. For Portfolio A, the ratio of risk premium to beta is: The ratio for Portfolio E is: Create Portfolio P by buying Portfolio E and shorting F in the proportions to give β p = β A = 1, the same beta as A. β p =  W i β i 1 = W E (β E ) + (1-W E )(β F ); E(r p ) = W E = 1 / (2/3) or 1.5(9) + -0.5(4) = 11.5%, 11.5% - 10% = 1.5% (10% - 4%)/1 = 6% (9% - 4%)/(2/3) = 7.5% W E = 1.5 andW F = (1-W E ) = -.5  p,-A = Buying Portfolio P and shorting A creates an arbitrage opportunity since both have β = 1

56. 7-56 Problem 16 The revised estimate of the expected rate of return of the stock would be the old estimate plus the sum of the unexpected changes in the factors times the sensitivity coefficients, as follows: Revised estimate = 14% + E(IP) = 4%&E(IR) = 6%; E(r stock ) = 14% β IP = 1.0 & β IR = 0.4 Actual IP = 5%, so unexpected ΔIP = 1% Actual IR = 7%, so unexpected ΔIR = 1% E(r stock ) + Δ due to unexpected Δ Factors [(1  1%) + (0.4  1%)] = 15.4%