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Mutual Investment Club of Cornell Week 8: Portfolio Theory April 7 th, 2011
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Mutual Investment Club of Cornell What is Return? Risk? Return = Also seen as Risk: Future uncertainty or volatility Ending Value – Beginning Value Beginning Value Ending Value Beginning Value
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Mutual Investment Club of Cornell Expected Return E[R a ] = (.2)(.30)+(.7)(.18)+(.10)(-.2) E[R a ] = 16.6% StateProbability Return on Stock A 120%30% 270%18% 310%-20%
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Mutual Investment Club of Cornell Variance Variance: Spread of possible outcomes for an asset V a 2 =.2(.3-.166) 2 +.7(.18-.166) 2 +.1(-.2-.166) 2 V a 2 =.017124 Standard deviation is square root of variance (V a )=.1309 StateProbability Return on Stock A 120%30% 270%18% 310%-20%
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Mutual Investment Club of Cornell Expected Return of Portfolio Weight of stocks is equal in portfolio Weight must always be 1 E[R p ] = (.5)(16.6%)+(.5)(8.3%) = 12.45% StateProbability Return on Stock A Return on Stock B 120%30%15% 270%18%9% 310%-20%-10%
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Mutual Investment Club of Cornell Portfolio Variance Weight of A is 80%, weight of B is 20% First find covariance of two stocks (correlation coefficient assumed to be.5) V A,B = (.5)(.05)(.11) =.00275 V p 2 = (.8) 2 (.0025)+(.2) 2 (.0121) +2(.8)(.2)(.00275) V p 2 =.002964 V p =.0544 StockE[R]VarianceStandard Deviation A.06.0025.05 B.14.0121.11
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Mutual Investment Club of Cornell Portfolio with Various Correlations For line A, stocks have correlation of 1 Line D has correlation of -1 Point Z has zero risk
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Mutual Investment Club of Cornell Diversification As one increases the number of stocks, standard deviation usually decreases This decreases the risk of the portfolio
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Mutual Investment Club of Cornell Portfolio Construction Efficient Frontier: minimizes risk for given return or maximizes return for given risk
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Mutual Investment Club of Cornell Sharpe Ratio
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Mutual Investment Club of Cornell Capital Market Line Every investor should be on CML Combination of risk-free rate and market portfolio
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Mutual Investment Club of Cornell Risk Unsystematic risk: variability in stock price due to factors only relating to an individual company Systematic risk: basic variability Some stocks more sensitive to systematic risk Measured by beta Systematic risk can’t be diversified away, while unsystematic risk can
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Mutual Investment Club of Cornell Capital Asset Pricing Model Investors should be compensated for taking on more risk with higher expected returns Unsystematic risk can essentially be eliminated Higher returns should only come from systematic risk CAPM says returns will be related to beta
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Mutual Investment Club of Cornell CAPM Calculating return E[R a ] = R f + β a (E[R m ] – R f ) Market premium times beta is return above risk free rate
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Mutual Investment Club of Cornell Security Market Line Expected returns against beta Uses CAPM model to create line Above line is considered good buy Generates alpha
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Mutual Investment Club of Cornell Arbitrage Pricing Theory Similar to CAPM, but uses more factors Each RP term is the risk premium associated with that factor Factors could be commodity prices, interest rates, foreign exchange, etc.
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Mutual Investment Club of Cornell Fama-French Results Two characteristics best describe variations in returns Firm size and Book-To-Market ratio The smaller the firm, the greater the return Book-To-Market is book value over market value The higher the ratio, the larger the returns
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Mutual Investment Club of Cornell Problems with MPT Asset returns are not normally distributed variables Correlations between assets aren’t constant Investors aren’t always rational and may not have access to information at the same time Investors can influence stock price with big purchases
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Mutual Investment Club of Cornell What to be aware of Utilize your strengths Be aware of herding toward a group of assets Don’t just accept popular ideas taken for granted Take advantage of constraints of other investors
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