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1、CHAPTER 13Empirical Evidence on Security Returns13-1Overview of InvestigationReturn-beta relationships are widely used in actual financial practice.The CAPM predicts expected rates of return on assets, relative to a market portfolio of all risky assets.13-2Overview of InvestigationA multifactor capi

2、tal market usually is postulated. A broad market index (e.g. the S&P 500) represents one of the factors.Well diversified portfolios are often substituted for individual securities.To overcome CAPM testing difficulties:13-3The Index Model and the Single-Factor APTExpected Return-Beta RelationshipEsti

3、mating the SCL13-4Tests of the CAPMTests of the expected return beta relationship: First Pass RegressionEstimate beta, average risk premiums and nonsystematic riskSecond PassUse estimates from the first pass to see if model is supported by the dataSML slope is “too flat” and intercept is “too high”.

4、13-5Single Factor Test ResultsReturn %BetaCAPMEstimated SML13-6Rolls CriticismThe only testable hypothesis is whether the market portfolio is mean-variance efficient.Sample betas conform to the SML relationship because all samples contain an infinite number of ex post mean-variance efficient portfol

5、ios.CAPM is not testable unless we know the exact composition of the true market portfolio and use it in the tests.Benchmark error due to proxy for M13-7Measurement Error in BetaProblem: If beta is measured with error, then the slope coefficient of the regression equation will be biased downward and

6、 the intercept biased upward.Solution: Replace individual assets with a set of portfolios with small nonsystematic components and widely spaced betas.Fama and MacBeth13-8Table 13.1 Summary of Fama and MacBeth13-9Summary of CAPM TestsExpected rates of return are linear and increase with beta, the mea

7、sure of systematic risk.Expected rates of return are not affected by nonsystematic risk.13-10Human Capital and Cyclical Variationsin Asset BetasJagannathan and Wang study shows two important deficiencies in tests of the single-index model:Many assets are not traded, notably, human capital. A human c

8、apital factor may be important in explaining returns.Betas are cyclical.13-11Table 13.2 Evaluation of Various CAPM Specifications13-12Table 13.3 Determinants of Stockholdings13-13Tests of the Multifactor ModelWhich factors or sources of risk should have risk premiums?CAPM and APT do not tell us!13-1

9、4Tests of the Multifactor ModelChen, Roll and Ross 1986 StudyFactorsGrowth rate in industrial productionChanges in expected inflationUnexpected inflationUnexpected changes in risk premiums on bondsUnexpected changes in term premium on bonds13-15Study Structure & ResultsMethod: Two-stage regression w

10、ith portfolios constructed by size based on market value of equitySignificant factors: industrial production, risk premium on bonds and unanticipated inflationMarket index returns were not statistically significant in the multifactor model13-16Fama-French Three Factor ModelSize and book-to-market ra

11、tios explain returns on securities.Smaller firms experience higher returns.High book to market firms experience higher returns (value style).Returns are explained by size, book to market and by beta.13-17Interpretation of Three-Factor ModelSize and value are priced risk factors, consistent with APT.

12、Alternatively, premiums could be due to investor irrationality or behavioral biases.13-18Risk-Based InterpretationsLiew and VassalouStyle seems to predict GDP growth and relate to the business cycle.Petkova and ZhangWhen the economy is expanding, value beta growth beta13-19Figure 13.1 Difference in

13、Return to Factor Portfolios13-20Figure 13.2 HML Beta in Different Economic States13-21Behavioral Explanations for Value Premium“Glamour firms” are characterized by recent good performance, high prices, and lower book-to-market ratios.High prices reflect excessive optimism plus overreaction and extra

14、polation of good news.Chan, Karceski and Lakonishok LaPorta, Lakonishok, Shleifer and Vishny13-22Figure 13.3 The Book-to-Market Ratio13-23Figure 13.4 Value minus Glamour Returns Surrounding Earnings Announcements13-24Momentum: A Fourth FactorThe original Fama-French model augmented with a momentum f

15、actor has become a common four-factor model used to evaluate abnormal performance of a stock portfolio.Momentum may be related to liquidity.13-25Liquidity and Asset PricingLiquidity involves trading costs, ease of sale, necessary price concessions to effect a quick transaction, market depth, price p

16、redictability.13-26Liquidity and Asset PricingPstor and Stambaugh studied price reversals.Conclusion: Liquidity risk is a priced factor.Price reversals may occur when traders have to offer higher purchase prices or accept lower selling prices to complete their trades in a timely manner.13-27Liquidit

17、y and Efficient Market AnomaliesPstor and Stambaugh suggest that the liquidity risk factor may account for the profitability of the momentum strategy.Sadka shows that the liquidity risk premium explains 40-80% of the abnormal returns to the momentum and postearnings announcement drift strategies.13-

18、28Equity Premium PuzzleThe equity premium puzzle says :historical excess returns are too highand/or our usual estimates of risk aversion are too low.13-29Consumption Growth and Market Rates of ReturnWhat matters to investors is not their wealth per se, but their lifetime flow of consumption.Measure

19、risk as the covariance of returns with aggregate consumption.13-30Consumption Growth and Market Rates of ReturnThe lower panel of Table 13.6 shows:a high book-to-market ratio is associated with a higher consumption betalarger firm size is associated with a lower consumption beta.13-31Table 13.6 Annu

20、al Excess Returns and Consumption Betas13-32Figure 13.6 Cross-Section of Stock Returns: Fama-French 25 Portfolios, 1954-200313-33Expected versus Realized ReturnsFama and French Found an equity premium only after 1949Capital gains significantly exceeded the dividend growth rate in modern times.Equity premium may be due to unanticipated capital gains.13-34Survivorship BiasEstimating risk premiums from the most successful country and ignoring evidence from stock markets that did not survive for the full sample period will impart an upward bias in esti

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