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1、investments | bodie, kane, marcuscopyright 2011 by the mcgraw-hill companies, inc. all rights reserved.mcgraw-hill/irwinchapter 8index modelsinvestments | bodie, kane, marcus8-2 reduces the number of inputs for diversification easier for security analysts to specializeadvantages of the single index
2、modelinvestments | bodie, kane, marcus8-3 i = response of an individual securitys return to the common factor, m. beta measures systematic risk. m = a common macroeconomic factor that affects all security returns. the s&p 500 is often used as a proxy for m. ei = firm-specific surprisessingle fac
3、tor model( )iiiire rmeinvestments | bodie, kane, marcus8-4single-index model regression equation: expected return-beta relationship: tetrtrimiii miiirereinvestments | bodie, kane, marcus8-5single-index model risk and covariance: variance = systematic risk and firm-specific risk: covariance = product
4、 of betas x market index risk:2222( )iimie 2( ,)ijijmcov r r investments | bodie, kane, marcus8-6single-index model correlation = product of correlations with the market index222( ,)( ,)( ,)ijmimjmijimjmijimjmcorr r rcorr r rxcorr r r investments | bodie, kane, marcus8-7index model and diversificati
5、on variance of the equally weighted portfolio of firm-specific components: when n gets large, 2(ep) becomes negligible and firm specific risk is diversified away.2222111()( )( )npiieeenninvestments | bodie, kane, marcus8-8figure 8.1 the variance of an equally weighted portfolio with risk coefficient
6、 pinvestments | bodie, kane, marcus8-9figure 8.2 excess returns on hp and s&p 500investments | bodie, kane, marcus8-10figure 8.3 scatter diagram of hp, the s&p 500, and hps security characteristic line (scl) tetrtrhppshphphp500&investments | bodie, kane, marcus8-11table 8.1 excel output:
7、 regression statistics for the scl of hewlett-packardinvestments | bodie, kane, marcus8-12table 8.1 interpretation correlation of hp with the s&p 500 is 0.7238. the model explains about 52% of the variation in hp. hps alpha is 0.86% per month(10.32% annually) but it is not statistically signific
8、ant. hps beta is 2.0348, but the 95% confidence interval is 1.43 to 2.53.investments | bodie, kane, marcus8-13figure 8.4 excess returns on portfolio assetsinvestments | bodie, kane, marcus8-14alpha and security analysis1. use macroeconomic analysis to estimate the risk premium and risk of the market
9、 index.2. use statistical analysis to estimate the beta coefficients of all securities and their residual variances, 2 (ei).investments | bodie, kane, marcus8-15alpha and security analysis3. establish the expected return of each security absent any contribution from security analysis.4. use security
10、 analysis to develop private forecasts of the expected returns for each security.investments | bodie, kane, marcus8-16single-index model input list risk premium on the s&p 500 portfolio estimate of the sd of the s&p 500 portfolio n sets of estimates ofbeta coefficientstock residual variances
11、alpha valuesinvestments | bodie, kane, marcus8-17optimal risky portfolio of the single-index model maximize the sharpe ratioexpected return, sd, and sharpe ratio:1111122111222222211()()()()( )()nnppmpiimiiiinnppmpmiiiiiipppe re rwe rwewwee rs investments | bodie, kane, marcus8-18optimal risky portfo
12、lio of the single-index model combination of: active portfolio denoted by a market-index portfolio, the passive portfolio denoted by minvestments | bodie, kane, marcus8-19optimal risky portfolio of the single-index modelmodification of active portfolio position: when0*01 (1)aaaawww*01,aaawwinvestmen
13、ts | bodie, kane, marcus8-20the information ratio the sharpe ratio of an optimally constructed risky portfolio will exceed that of the index portfolio (the passive strategy):222()apmaessinvestments | bodie, kane, marcus8-21the information ratio the contribution of the active portfolio depends on the
14、 ratio of its alpha to its residual standard deviation. the information ratio measures the extra return we can obtain from security analysis.investments | bodie, kane, marcus8-22figure 8.5 efficient frontiers with the index model and full-covariance matrixinvestments | bodie, kane, marcus8-23table 8
15、.2 portfolios from the single-index and full-covariance modelsinvestments | bodie, kane, marcus8-24is the index model inferior to the full-covariance model? full markowitz model may be better in principle, but using the full-covariance matrix invokes estimation risk of thousands of terms. cumulative
16、 errors may result in a portfolio that is actually inferior to that derived from the single-index model. the single-index model is practical and decentralizes macro and security analysis.investments | bodie, kane, marcus8-25beta book: industry version of the index model use 60 most recent months of price data use s&p 500 as proxy for m compute total returns that ignore dividends estimate index model without excess returns: *ebrarminvestments | bodie, kane, marcus8-26beta book: industry version of the index model the average beta over all
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