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Investment Analysis and Portfolio Management By Reilly and BrownChapter No. 10 Extensions and Testing of Asset Pricing Theories
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Saif [email protected]
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Lecture Presentation Software to accompany
Investment Analysis and Portfolio Management
Sixth Editionby
Frank K. Reilly & Keith C. Brown
Chapter 10
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Chapter 10 - Extensions and Testing of Asset Pricing TheoriesQuestions to be answered:
• What happens to the capital market line (CML) when you assume there are differences in the risk-free borrowing and lending rates?
• What is a zero-beta asset and how does its use impact the CML?
• What happens to the security market line (SML) when you assume transaction costs, heterogeneous expectations, different planning periods, and taxes?
SAIF ULLAH, [email protected], +923216633271
Chapter 10 - Extensions and Testing of Asset Pricing Theories• What are the major questions considered when
empirically testing the CAPM?
• What are the empirical results from tests that examine the stability of beta?
• How do alternative published estimates of beta compare?
• What are the empirical test results of studies that examine the relationship between systematic risk and return?
SAIF ULLAH, [email protected], +923216633271
Chapter 10 - Extensions and Testing of Asset Pricing Theories• What other variables besides beta have had a
significant impact on returns?• What is the theory and practice regarding the
“market portfolio”? How does this difference between theory and the market proxy relate to the benchmark problem?
• Assuming there is a benchmark problem, what variables are affected by it?
• What are the major assumptions not required by the APT model compared to the CAPM?
SAIF ULLAH, [email protected], +923216633271
Chapter 10 - Extensions and Testing of Asset Pricing Theories• How do you test the APT by examining
anomalies found with the CAPM?
• What are the empirical test results related to the APT?
• Why do some authors contend that the APT model is untestable?
• What are the concerns related to the multiple factors of the APT model?
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Relaxing the Assumptions of the CAPM
• CAPM assumption: all investors can borrow or lend at the risk-free rate - unrealistic– Differential borrowing and lending rates– Unlimited lending at risk-free rate– Borrowing at higher rate
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Investment Alternatives When The Cost of Borrowing is Higher Than The Cost of LendingFigure 10.1
E(R)
Rb
RFR
Risk (standard deviation )
F
G
K
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Relaxing the Assumptions of the CAPM
• Zero-beta portfolio: create a portfolio that is uncorrelated to the market (beta 0)– The return of the zero-beta portfolio may differ from
the risk-free rate
• Any combination of portfolios on the efficient frontier will be on the frontier
• Any efficient portfolio will have associated with it a zero-beta portfolio
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Implications of Black’s Zero-beta model
• The expected return of any security can be expressed as a linear relationship of any two efficient portfolios
E(Ri) = E(Rz) + i[E(Rm) - E(Rz)]
• If CAPM defines the relationship between risk and return, then the return on the zero-beta portfolio should equal RF
• To test this - identify a market portfolio and solve for the return of a zero-beta portfolio
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Security Market Line With A Zero-Beta Portfolio
Figure 10.2
E(R)
E(Rm)
i
SML
M
0.0 1.0
E(Rz)
E(Rm) - E(Rz)
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Relaxing the Assumptions of the CAPM
• Transaction costs– affect mispricing corrections– affect diversification
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Security Market Line With Transaction Costs
Figure 10.3
E(R)
E(Rm)
i
SML
0.0 1.0
E(Rz)
E(RFR) or
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Relaxing the Assumptions of the CAPM
• Heterogenous expectations– If all investors have different expectations about risk
and return, each would have a unique CML and/or SML, and the composite graph would be a band of lines with a breadth determined by the divergence of expectations
• Planning periods– CAPM is a one period model, and the period
employed should be the planning period for the individual investor, which will vary by individual, affecting both the CML and the SML
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Relaxing the Assumptions of the CAPM
• Taxes– Tax rates affect returns– Tax rates differ between individuals and institutions
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Empirical Testing of CAPM
• How stable is the measure of systematic risk (beta)?
• Is there a positive linear relationship as hypothesized between beta and the rate of return on risky assets?
• How well do returns conform to the SML equation?
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Empirical Testing of CAPM
• Beta is not stable for individual stocks over short periods of time (52 weeks)
• Stability for portfolios increase significantly
• The larger the portfolio and the longer the period, the more stable the beta of the portfolio
• Betas tend to regress toward the mean
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Empirical Testing of CAPM
• Different estimates of beta for a stock vary typically in data used
• Value Line estimates use 260 weekly observations
• Merrill Lynch estimates using 60 monthly observations
• Securities market value affects the size and direction of the interval affect
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Relationship Between Systematic Risk and Return
• Sharpe and Cooper: positive, but non-linear• Douglas: intercept higher than the risk-free rate
• Miller and Scholes: possible error in Douglas findings• Black, Jensen, and Scholes: positive linear relationship
between monthly excess return and portfolio beta• Fama and McBeth: supported the CAPM with the
intercept equal to the RFR
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Relationship Between Systematic Risk and Return
• Effect of skewness on the relationship– preference for high risk and returns
• Effect of size, P/E and leverage
• Effect of book-to-market value– The Fama-French Study
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The Market Portfolio: Theory Versus Practice
• Difficult to test full market
• Portfolio used as market proxy may be correlated to true market portfolio
• Benchmark error
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Criticism of CAPM by Richard Roll
• Limits on tests: only testable implication from CAPM is whether the market portfolio lies on the efficient frontier
• Range of SML’s - infinite number of possible SML’s, each of which produces a unique estimate of beta
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Criticism of CAPM by Richard Roll
• Market efficiency effects - substituting a proxy, such as the S&P 500 creates two problems– Proxy does not represent the true market
portfolio– Even if the proxy is not efficient, the market
portfolio might be
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Criticism of CAPM by Richard Roll • Conflicts between proxies - different
substitutes may be highly correlated even though some may be efficient and others are not, which can lead to different conclusions regarding beta risk/return relationships
• So, CAPM is not testable - but it still has value and must be used carefully
• Stephen Ross devised an alternative way to look at asset pricing - APT
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Arbitrage Pricing Theory - APT
• Arbitrage is a process of buying a lower priced asset and selling a higher priced asset, both of similar risk, and capturing the difference in arbitrage profits
• The general arbitrage principle states that two identical securities will sell at identical prices
• Price differences will immediately disappear as arbitrage takes place
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Arbitrage Pricing Theory - APTThree major assumptions:
1. Capital markets are perfectly competitive
2. Investors always prefer more wealth to less wealth with certainty
3. The stochastic process generating asset returns can be expressed as a linear function of a set of K factors or indexes
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Arbitrage Pricing Theory - APT
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Roll-Ross Study
1. Estimate the expected returns and the factor coefficients from time-series data on individual asset returns
2. Use these estimates to test the basic cross-sectional pricing conclusion implied by the APT
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Extensions of the Roll-Ross Study
• Cho, Elton, and Gruber examined the number of factors in the return-generating process that were priced
• Dhrymes, Friend, and Gultekin (DFG) reexamined techniques and their limitations and found the number of factors varies with the size of the portfolio
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The APT and Anomalies• Small-firm effect
Reinganum - results inconsistent with the APT
Chen - supported the APT model over CAPM
• January anomalyGultekin - APT not better than CAPM
Burmeister and McElroy - effect not captured by model, but still rejected CAPM in favor of APT
• APT and inflationElton, Gruber, and Rentzler - analyzed real returns
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The Shanken Challenge to Testability of the APT
• If returns are not explained by a model, it is not considered rejection of a model; however if the factors do explain returns, it is considered support
• APT has no advantage because the factors need not be observable, so equivalent sets may conform to different factor structures
• Empirical formulation of the APT may yield different implications regarding the expected returns for a given set of securities
• Thus, the theory cannot explain differential returns between securities because it cannot identify the relevant factor structure that explains the differential returns
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Alternative Testing Techniques
• Jobson proposes APT testing with a multivariate linear regression model
• Brown and Weinstein propose using a bilinear paradigm
• Others propose new methodologies
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The InternetInvestments Online
www.barra.com
www.wsharpe.com
www.cob.ohio-state.edu/~fin/journal.jof.htm
www3.oup.co.uk/revfin/scope
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End of Chapter 10–Extensions and Testing of Asset Pricing Theories
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Future topicsChapter 11
• Derivative Markets
• Forwards
• Futures
• Options