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Optimal Risky Portfolio, CAPM, and APT
Diversification Portfolio of Two Risky Assets Asset Allocation with Risky and Risk-free Assets Markowitz Portfolio Selection Model CAPM APT (arbitrage pricing theory)
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Diversification Effect
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Systematic risk v. Nonsystematic Risk
Systematic risk, (nondiversifiable risk or market risk), is the risk that remains after extensive diversifications Nonsystematic risk (diversifiable risk, unique risk, firm-specific risk) – risks can be eliminated through diversifications
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Two-Security Portfolio: Return
rp = W1r1 + W2r2 W1 = Proportion of funds in Security 1 W2 = Proportion of funds in Security 2 r1 = Expected return on Security 1 r2 = Expected return on Security 2
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Two-Security Portfolio: Risk
p2 = w1212 + w2222 + 2W1W2 Cov(r1r2) 12 = Variance of Security 1 22 = Variance of Security 2 Cov(r1r2) = Covariance of returns for Security 1 and Security 2
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Covariance Cov(r1r2) = 1,212 1,2 = Correlation coefficient of returns 1 = Standard deviation of returns for Security 1 2 = Standard deviation of returns for Security 2
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Correlation Coefficients: Possible Values
Range of values for 1,2 > r > -1.0 If r= 1.0, the securities would be perfectly positively correlated If r= - 1.0, the securities would be perfectly negatively correlated
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Expected Return and Portfolio Weights
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Expected Return and Standard Deviation
Look at ρ=-1, 0 or 1. Minimum Variance Portfolio
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The Effect of Correlation
The relationship depends on correlation coefficient. -1.0 < < +1.0 The smaller the correlation, the greater the risk reduction potential. If r = +1.0, no risk reduction is possible.
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Capital Asset Line A graph showing all feasible risk-return combinations of a risky and risk-free asset. See page 206 for possible CAL Optimal CAL – what is the objective function in the optimization?
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Optimal CAL and the Optimal Risky Portfolio
Equation 7.13, page 207
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Example A pension fund manager is considering 3 mutual funds. The first is a stock fund, the second is a long-term government and corporate bond fund, and the third is a T-bill money market fund that yields a rate of 8%. The probability distribution of the risky funds is as following: Exp(ret) Std Dev Stock fund % % bond Fund 12% % The correlation between the fund returns is 0.10 Answer Problem 4 through 6, page 223. Also see Example 7.2 (optimal risky portfolio) on page 207
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Determination of the Optimal Overall Portfolio
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Markowitz Portfolio Selection
Generalize the portfolio construction problem to the case of many risky securities and a risk-free asset Steps Get minimum variance frontier Efficient frontier – the part above global MVP An optimal allocation between risky and risk-free asset
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Minimum-Variance Frontier
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Capital Allocation Lines and Efficient Frontier
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Capital Asset Pricing Model (CAPM)
Harry Markowitz laid down the foundation of modern portfolio theory in The CAPM was developed by William Sharpe, John Lintner, Jan Mossin in mid 1960s. It is the equilibrium model that underlies all modern financial theory. Derived using principles of diversification with simplified assumptions.
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Assumptions Individual investors are price takers.
Single-period investment horizon. Investments are limited to traded financial assets. No taxes and transaction costs. Information is costless and available to all investors. Investors are rational mean-variance optimizers. There are homogeneous expectations.
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Resulting Equilibrium Conditions
All investors will hold the same portfolio for risky assets – market portfolio Market portfolio contains all securities and the proportion of each security is its market value as a percentage of total market value Risk premium on the market depends on the average risk aversion of all market participants Risk premium on an individual security is a function of its covariance with the market
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Figure 9.1 The Efficient Frontier and the Capital Market Line
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CAPM E(R)=Rf+β*(Rm-Rf)
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Security Market line and a Positive-Alpha Stock
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CAPM Applications: Index Model
To move from expected to realized returns—use the index model in excess return form: Ri=αi+βiRM+ei The index model beta coefficient turns out to be the same beta as that of the CAPM expected return-beta relationship What would be the testable implication? See page 293
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Estimates of Individual Mutual Fund Alphas
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CAPM Applications: Market Model
Ri-rf=αi+βi(RM-rf)+ei Test implication: αi=0
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Is CAMP Testable? Is the CAPM testable
Proxies must be used for the market portfolio CAPM is still considered the best available description of security pricing and is widely accepted
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Other CAPM Models: Multiperiod Model
Page 303 Considering CAPM in the multi-period setting Other than comovement with the market portfolio, uncertainty in investment opportunity and changes in prices of consumption goods may affect stock returns Equation (9.14)
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Other CAPM Models: Consumption Based Model
No longer consider the comovements in returns of individual securities with returns of market portfolios Key intuition: investors balance between today’s consumption and the saving and investments that will support future consumption Page 304; Equation (9.15)
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Liquidity and CAPM Liquidity – the ease and speed with which an asset can be sold at fair market value. Illiquidity Premium The discount in security price that results from illiquidity is large Compensation for liquidity risk – inanticipated change in liquidity Research supports a premium for illiquidity. Amihud and Mendelson and Acharya and Pedersen
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Illiquidity and Average Returns
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APT Arbitrage Pricing Theory
This is a multi-factor approach in pricing stock returns. See chapter 10
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Fama-French Three-Factor Model
The factors chosen are variables that on past evidence seem to predict average returns well and may capture the risk premiums (page 336) rit=αi+βiMRMt+βiSMBSMBt+βiHMLHMLt+eit Where: SMB = Small Minus Big, i.e., the return of a portfolio of small stocks in excess of the return on a portfolio of large stocks HML = High Minus Low, i.e., the return of a portfolio of stocks with a high book to-market ratio in excess of the return on a portfolio of stocks with a low book-to-market ratio
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