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Risk /Return Return = r = Discount rate = Cost of Capital (COC)
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Risk /Return Return = r = Discount rate = Cost of Capital (COC) r is determined by risk
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Risk /Return Return = r = Discount rate = Cost of Capital (COC) r is determined by risk Two Extremes Treasury Notes are risk free = Retrun is low
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Risk /Return Return = r = Discount rate = Cost of Capital (COC) r is determined by risk Two Extremes Treasury Notes are risk free = Retrun is low Junk Bonds are high risk = Return is high
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Risk Variance & Standard Deviation yard sticks that measure risk Return is measured
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Risk Variance & Standard Deviation yard sticks that measure risk Return is measured
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The Value of an Investment of $1 in 1900
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Real Returns
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Rates of Return 1900-2003 Source: Ibbotson Associates Year Percentage Return Stock Market Index Returns
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Diversification Diversification is the combining of assets. In financial theory, diversification can reduce risk. The risk of the combined assets is lower than the risk of the assets held separately.
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Efficient Frontier Example Correlation Coefficient =.4 Stocks % of PortfolioAvg Return ABC Corp2860% 15% Big Corp42 40% 21% Standard Deviation = weighted avg = 33.6 Standard Deviation = Portfolio = 28.1 Additive Standard Deviation (common sense): = 28 (60%) + 42 (40%) = 33.6 WRONG Real Standard Deviation: = (28 2) (.6 2 ) + (42 2 )(.4 2 ) + 2(.4)(.6)(28)(42)(.4) = 28.1 CORRECT
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Efficient Frontier Example Correlation Coefficient =.4 Stocks % of PortfolioAvg Return ABC Corp2860% 15% Big Corp42 40% 21% Standard Deviation = weighted avg = 33.6 Standard Deviation = Portfolio = 28.1 Real Standard Deviation: = (28 2) (.6 2 ) + (42 2 )(.4 2 ) + 2(.4)(.6)(28)(42)(.4) = 28.1 CORRECT Return : r = (15%)(.60) + (21%)(.4) = 17.4%
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Efficient Frontier Example Correlation Coefficient =.4 Stocks % of PortfolioAvg Return ABC Corp2860% 15% Big Corp42 40% 21% Standard Deviation = weighted avg = 33.6 Standard Deviation = Portfolio = 28.1 Return = weighted avg = Portfolio = 17.4% Let’s Add stock New Corp to the portfolio
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Efficient Frontier Example Correlation Coefficient =.3 Stocks % of PortfolioAvg Return Portfolio28.150% 17.4% New Corp30 50% 19% NEW Standard Deviation = weighted avg = 31.80 NEW Standard Deviation = Portfolio = 23.43 NEW Return = weighted avg = Portfolio = 18.20%
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Efficient Frontier Example Correlation Coefficient =.3 Stocks % of PortfolioAvg Return Portfolio28.150% 17.4% New Corp30 50% 19% NEW Standard Deviation = weighted avg = 31.80 NEW Standard Deviation = Portfolio = 23.43 NEW Return = weighted avg = Portfolio = 18.20% NOTE: Higher return & Lower risk How did we do that? DIVERSIFICATION
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Diversification
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Efficient Frontier A B Return Risk (measured as O)
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Efficient Frontier A B Return Risk AB
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Efficient Frontier A B N Return Risk AB
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Efficient Frontier A B N Return Risk AB ABN
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Efficient Frontier A B N Return Risk AB Goal is to move up and left. WHY? ABN
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Efficient Frontier Return Risk Low Risk High Return
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Efficient Frontier Return Risk Low Risk High Return High Risk High Return
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Efficient Frontier Return Risk Low Risk High Return High Risk High Return Low Risk Low Return
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Efficient Frontier Return Risk Low Risk High Return High Risk High Return Low Risk Low Return High Risk Low Return
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Efficient Frontier Return Risk Low Risk High Return High Risk High Return Low Risk Low Return High Risk Low Return
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Efficient Frontier Return Risk A B N AB ABN
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Markowitz Portfolio Theory Combining stocks into portfolios can reduce standard deviation, below the level obtained from a simple weighted average calculation. Correlation coefficients make this possible. efficient portfolios The various weighted combinations of stocks that create this standard deviations constitute the set of efficient portfolios.
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Markowitz Portfolio Theory Bristol-Myers Squibb McDonald’s Standard Deviation Expected Return (%) 45% McDonald’s Expected Returns and Standard Deviations vary given different weighted combinations of the stocks
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Efficient Frontier Standard Deviation Expected Return (%) Each half egg shell represents the possible weighted combinations for two stocks. The composite of all stock sets constitutes the efficient frontier
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Diversification 0 51015 Number of Securities Portfolio standard deviation
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Diversification 0 51015 Number of Securities Portfolio standard deviation Market risk Unique risk
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Efficient Frontier Standard Deviation Expected Return (%) Lending or Borrowing at the risk free rate ( r f ) allows us to exist outside the efficient frontier. rfrf Lending Borrowing T S
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Efficient Frontier Return Risk A B N AB ABN
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Security Market Line Return Risk. rfrf Efficient Portfolio Risk Free Return =
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Security Market Line Return Risk. rfrf Risk Free Return = Market Return = r m Efficient Portfolio
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Security Market Line Return Risk. rfrf Risk Free Return = Market Return = r m Efficient Portfolio
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Security Market Line Return BETA. rfrf Risk Free Return = Market Return = r m Efficient Portfolio 1.0
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Risk & Beta Market Beta = 1.0 = (O market )(O market ) = O m 2 (O market )(O market ) O m 2
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Risk & Beta Market Beta = 1.0 = (O market )(O market ) = O m 2 (O market )(O market ) O m 2 Covariance
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Risk & Beta Market Beta = 1.0 = (O market )(O market ) = O m 2 (O market )(O market ) O m 2 Stock Beta = O sm O m 2 Covariance
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Risk & Beta Market Beta = 1.0 = (O market )(O market ) = O m 2 (O market )(O market ) O m 2 Stock Beta = O sm O m 2 Covariance covariance of market & stock
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Beta and Unique Risk Market Portfolio - Portfolio of all assets in the economy. In practice a broad stock market index, such as the S&P Composite, is used to represent the market. Beta - Sensitivity of a stock’s return to the return on the market portfolio.
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Beta and Unique Risk
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Covariance with the market Variance of the market
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Beta Stability % IN SAME % WITHIN ONE RISK CLASS 5 CLASS 5 CLASS YEARS LATER YEARS LATER 10 (High betas) 35 69 9 18 54 8 16 45 7 13 41 6 14 39 5 14 42 4 13 40 3 16 45 2 21 61 1 (Low betas) 40 62 Source: Sharpe and Cooper (1972)
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Security Market Line Return BETA rfrf Risk Free Return = Market Return = r m 1.0 Security Market Line (SML)
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Security Market Line Return BETA rfrf 1.0 SML SML Equation = r f + B ( r m - r f )
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Capital Asset Pricing Model (CAPM) R = r f + B ( r m - r f )
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Testing the CAPM Avg Risk Premium 1931-2002 Portfolio Beta 1.0 SML 30 20 10 0 Investors Market Portfolio Beta vs. Average Risk Premium
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Testing the CAPM Avg Risk Premium 1931-65 Portfolio Beta 1.0 SML 30 20 10 0 Investors Market Portfolio Beta vs. Average Risk Premium
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Testing the CAPM Avg Risk Premium 1966-2002 Portfolio Beta 1.0 SML 30 20 10 0 Investors Market Portfolio Beta vs. Average Risk Premium
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Testing the CAPM High-minus low book-to-market Return vs. Book-to-Market Dollars (log scale) Small minus big http://mba.tuck.dartmouth.edu/pages/faculty/ken.french/data_library.html 2003
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Measuring Betas Hewlett Packard Beta Slope determined from 60 months of prices and plotting the line of best fit. Price data - Jan 78 - Dec 82 Market return (%) Hewlett-Packard return (%) R 2 =.53 B = 1.35
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Measuring Betas Hewlett Packard Beta Slope determined from 60 months of prices and plotting the line of best fit. Price data - Jan 83 - Dec 87 Market return (%) Hewlett-Packard return (%) R 2 =.49 B = 1.33
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Measuring Betas Hewlett Packard Beta Slope determined from 60 months of prices and plotting the line of best fit. Price data - Jan 88 - Dec 92 Market return (%) Hewlett-Packard return (%) R 2 =.45 B = 1.70
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Measuring Betas Hewlett Packard Beta Slope determined from 60 months of prices and plotting the line of best fit. Price data - Jan 93 - Dec 97 Market return (%) Hewlett-Packard return (%) R 2 =.35 B = 1.69
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Measuring Betas A T & T Beta Slope determined from 60 months of prices and plotting the line of best fit. Price data - Jan 78 - Dec 82 Market return (%) A T & T (%) R 2 =.28 B = 0.21
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Measuring Betas A T & T Beta Slope determined from 60 months of prices and plotting the line of best fit. Price data - Jan 83 - Dec 87 Market return (%) R 2 =.23 B = 0.64 A T & T (%)
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Measuring Betas A T & T Beta Slope determined from 60 months of prices and plotting the line of best fit. Price data - Jan 88 - Dec 92 Market return (%) R 2 =.28 B = 0.90 A T & T (%)
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Measuring Betas A T & T Beta Slope determined from 60 months of prices and plotting the line of best fit. Price data - Jan 93 - Dec 97 Market return (%) R 2 =..17 B =.90 A T & T (%)
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Arbitrage Pricing Theory Alternative to CAPM Expected Risk Premium = r - r f = B factor1 (r factor1 - r f ) + B f2 (r f2 - r f ) + …
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Arbitrage Pricing Theory Alternative to CAPM Expected Risk Premium = r - r f = B factor1 (r factor1 - r f ) + B f2 (r f2 - r f ) + … Return= a + b factor1 (r factor1 ) + b f2 (r f2 ) + …
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Arbitrage Pricing Theory Estimated risk premiums for taking on risk factors (1978-1990)
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3 Factor Model Fama & French Expected Return = B market (r market factor ) + B size (r size factor ) + B book to market (r book to market factor ) Market factor = Rm – Rf Size Factor = R small cap – R large cap Book to Market Factor = R high B-M stocks – R low B-M stocks
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