1.  The McGraw-Hill Companies, Inc., 1999 INVESTMENTS Fourth Edition Bodie Kane Marcus Irwin/McGraw-Hill 10-1 Single Index and Multifactor Models Chapter 10

2.  The McGraw-Hill Companies, Inc., 1999 INVESTMENTS Fourth Edition Bodie Kane Marcus Irwin/McGraw-Hill 10-2 Reduces the number of inputs for diversification Easier for security analysts to specialize Advantages of the Single Index Model

3.  The McGraw-Hill Companies, Inc., 1999 INVESTMENTS Fourth Edition Bodie Kane Marcus Irwin/McGraw-Hill 10-3 r i = E(R i ) + ß i F + e ß i = index of a securities’ particular return to the factor F= some macro factor; in this case F is unanticipated movement; F is commonly related to security returns Assumption: a broad market index like the S&P500 is the common factor Single Factor Model

4.  The McGraw-Hill Companies, Inc., 1999 INVESTMENTS Fourth Edition Bodie Kane Marcus Irwin/McGraw-Hill 10-4 (r i - r f ) = i + ß i (r m - r f ) + e i  Risk Prem Market Risk Prem or Index Risk Prem i = the stock’s expected return if the market’s excess return is zero ß i (r m - r f ) = the component of return due to movements in the market index (r m - r f ) = 0 e i = firm specific component, not due to market movements  Single Index Model

5.  The McGraw-Hill Companies, Inc., 1999 INVESTMENTS Fourth Edition Bodie Kane Marcus Irwin/McGraw-Hill 10-5 Let: R i = (r i - r f ) R m = (r m - r f ) Risk premium format R i =  i + ß i (R m ) + e i Risk Premium Format

6.  The McGraw-Hill Companies, Inc., 1999 INVESTMENTS Fourth Edition Bodie Kane Marcus Irwin/McGraw-Hill 10-6 Security Characteristic Line Excess Returns (i) SCL.................................................................................................... Excess returns on market index R i =  i + ß i R m + e i

7.  The McGraw-Hill Companies, Inc., 1999 INVESTMENTS Fourth Edition Bodie Kane Marcus Irwin/McGraw-Hill 10-7 Jan. Feb.. Dec Mean Std Dev 5.41 -3.44. 2.43 -.60 4.97 7.24.93. 3.90 1.75 3.32 Excess Mkt. Ret. Excess GM Ret. Using the Text Example from Table 10-1

8.  The McGraw-Hill Companies, Inc., 1999 INVESTMENTS Fourth Edition Bodie Kane Marcus Irwin/McGraw-Hill 10-8 Estimated coefficient Std error of estimate Variance of residuals = 12.601 Std dev of residuals = 3.550 R-SQR = 0.575 ß ß -2.590 (1.547) 1.1357 (0.309) r GM - r f = + ß(r m - r f )   Regression Results

9.  The McGraw-Hill Companies, Inc., 1999 INVESTMENTS Fourth Edition Bodie Kane Marcus Irwin/McGraw-Hill 10-9 Market or systematic risk: risk related to the macro economic factor or market index Unsystematic or firm specific risk: risk not related to the macro factor or market index Total risk = Systematic + Unsystematic Components of Risk

10.  The McGraw-Hill Companies, Inc., 1999 INVESTMENTS Fourth Edition Bodie Kane Marcus Irwin/McGraw-Hill 10-10  i 2 =  i 2  m 2 +  2 (e i ) where;  i 2 = total variance  i 2  m 2 = systematic variance  2 (e i ) = unsystematic variance Measuring Components of Risk

11.  The McGraw-Hill Companies, Inc., 1999 INVESTMENTS Fourth Edition Bodie Kane Marcus Irwin/McGraw-Hill 10-11 Total Risk = Systematic Risk + Unsystematic Risk Systematic Risk/Total Risk =  2 ß i 2  m 2 /  2 =  2  i 2  m 2 /  i 2  m 2 +  2 (e i ) =  2 Examining Percentage of Variance

12.  The McGraw-Hill Companies, Inc., 1999 INVESTMENTS Fourth Edition Bodie Kane Marcus Irwin/McGraw-Hill 10-12 Index Model and Diversification

13.  The McGraw-Hill Companies, Inc., 1999 INVESTMENTS Fourth Edition Bodie Kane Marcus Irwin/McGraw-Hill 10-13 Risk Reduction with Diversification Number of Securities St. Deviation Market Risk Unique Risk  2 (e P )=  2 (e) / n P2M2P2M2

14.  The McGraw-Hill Companies, Inc., 1999 INVESTMENTS Fourth Edition Bodie Kane Marcus Irwin/McGraw-Hill 10-14 Industry Prediction of Beta Merrill Lynch Example - Use returns not risk premiums   has a different interpretation   =  + r f (1-  ) Forecasting beta as a function of past beta Forecasting beta as a function of firm size, growth, leverage etc.

15.  The McGraw-Hill Companies, Inc., 1999 INVESTMENTS Fourth Edition Bodie Kane Marcus Irwin/McGraw-Hill 10-15 Multifactor Models Use factors in addition to market return - Examples include industrial production, expected inflation etc. - Estimate a beta for each factor using multiple regression Fama and French - Returns a function of size and book-to-market value as well as market returns