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Risk and Capital Budgeting Chapter 13. Chapter 13 - Outline What is Risk? Risk Related Measurements Coefficient of Correlation The Efficient Frontier.

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Presentation on theme: "Risk and Capital Budgeting Chapter 13. Chapter 13 - Outline What is Risk? Risk Related Measurements Coefficient of Correlation The Efficient Frontier."— Presentation transcript:

1 Risk and Capital Budgeting Chapter 13

2 Chapter 13 - Outline What is Risk? Risk Related Measurements Coefficient of Correlation The Efficient Frontier CAPM and Beta

3 What is Risk? Risk means uncertainty about a future outcome Risk varies greatly depending on the investment: –A T-Bill has zero or no risk – A gold-mining expedition in Africa has high risk Most investors and financial managers are risk averse, meaning they don’t like risk - Preference: relative certainty as opposed to uncertainty - Expectation: higher value or return for risky investments

4 Stocks, Bonds, Bills, and Inflation Hypothetical value of $1 invested at year-end 1925. Assumes reinvestment of income and no transaction costs or taxes This is for illustrative purposes only and not indicative of any investment. Past performance is no guarantee of future results. 3/1/2008. Copyright © 2008 Ibbotson Associates, Inc. 1925 - 2009 Average Return Ending Wealth 1925 1935 1945 1955 1965 1975 1985 1995 2009 $12,130 $2,526 $99.17 $20.51 $12.14

5 Rates of Return 1926-2009 Source: Ibbotson Associates Year Percentage Return

6 Stocks, Bonds, Bills, and Inflation Compound Annual Return Arithmetic Annual Return Risk (Standard Deviation) *The 1933 Small Company Stock total return was 142.9%. This is for illustrative purposes only and not indicative of any investment. Past performance is no guarantee of future results. 3/1/2008. Copyright © 2008 Ibbotson Associates, Inc. Summary Statistics 1926 - 2009 Distribution of Annual Returns Large Company Stocks 9.66%11.8%20.5% Small Company Stocks * 11.7%16.5%33.0% Government Bonds 5.7%6.1%9.4% Inflation 2.9%3.1%4.2% Treasury Bills 3.7%3.8%3.1%

7 Some Risk Related Statistical Measurements Expected Value: – equal to weighted average of outcomes x probabilities Standard Deviation: – measure of dispersion or variability around the expected value – the larger the standard deviation  the greater the risk Coefficient of Variation: – equal to standard deviation / expected value – the larger the coefficient of variation  the greater the risk

8 Variability and risk

9 Probability distribution with differing degrees of risk

10 Calculating mean (or expected) return Probability Probability Return x return.20 -10% -2%.50 +10 5.30 +30 9 Total 12% Mean or expected return

11 Calculating variance and standard deviation of Merck returns from past monthly data Deviation from mean Squared Month Return return deviation 1 5.4% 2.6% 6.76 2 1.7 - 1.1 1.21 3 - 3.6 - 6.4 40.96 4 13.6 10.8 116.64 5 - 3.5 - 6.3 39.69 6 3.2 0.4 0.16 Total 16.8 205.41 Mean: 16.8/6 = 2.8% Variance: 205.41/6 = 34.235 Std dev: Sq root of 34.235 = 5.85% per month

12 Calculating variance and standard deviation Deviation Probability from mean x squared Probability Return return deviation.20 -10% -22% 96.8.50 +10 - 2 2.0.30 +30 +18 97.2 Total 196.0 Variance Standard deviation = square root of variance = 14%

13 Mean and standard deviation mean measures average (or expected return) l standard deviation (or variance) measures the spread or variability of returns l risk averse investors prefer high mean & low standard deviation 20 standard deviation expected return 15 10 5 0 5 1520 better HOWEVER, INVESTOR FOCUS IS ON PORTFOLIO RISK & RETURN

14 Expected portfolio return Portfolio Expected Proportion x proportion (x) return (r) return (xr) Merck.40 10% 4% McDonald.60 15 9 Total 1.00 13% Expected portfolio return

15 Risk and Diversification Diversification - Strategy designed to reduce risk by spreading the portfolio across many investments. Unique Risk - Risk factors affecting only that firm. Also called “diversifiable risk.” Market Risk - Economy-wide sources of risk that affect the overall stock market. Also called “systematic risk.”

16 Diversification eliminates unique risk deviation standard Portfolio Unique risk Market risk Number of securities 510

17 Stock Diversification 124681630501001000 Number of Stocks in Portfolio Risk Market Risk Diversifiable Risk This is for illustrative purposes only and not indicative of any investment. Past performance is no guarantee of future results. 3/1/2000. Copyright © 2000 Ibbotson Associates, Inc.

18 Where do Diversification Benefits Come from? Concepts of Correlation and Covariance Expected Return on portfolio Standard Deviation of Portfolio Returns

19 Coefficient of Correlation Shows the extent of correlation among projects Has a numerical value of between -1 and +1 Its value shows the risk reduction between projects: Negative correlation (-1)  Large risk reduction No correlation (0)  Some risk reduction Positive correlation (+1)  No risk reduction Coefficient of Correlation  Coefficient of Variation

20 The Efficient Frontier Combinations of projects with the best trade-off between risk and return 2 objectives: – Achieve the highest possible return at a given risk level – Provide the lowest possible risk at a given return level The Efficient Frontier is the best risk-return line or combination of possibilities

21 Mean & standard deviation: Portfolio of Merck & McDonald

22 Calculating covariance and correlation between Merck and McDonald from past monthly data Deviation Product Return: from mean: of Month Merck McD Merck McD deviations 1 5.4% 10.7% 2.6% 8.9% 23.2 2 1.7 - 8.4 - 1.1 -10.2 11.2 3 - 3.6 1.6 - 6.4 - 0.2 1.2 4 13.6 10.2 10.8 8.4 90.9 5 - 3.5 4.4 - 6.3 2.6 -16.5 6 3.2 - 7.8 0.4 - 9.6 - 3.8 Total 16.8 10.7 106.1 Mean 2.8 1.78 Covariance: 106.1/6 = 17.7 Std dev Merck: 5.9% Std dev McD: 7.7% Corr. co-effic: Cov/(sd Me. sd McD ) = 17.7/(5.9 x 7.7) =.39

23 Calculating covariance and correlation Deviation from Probability Return on: mean return: x product of Prob. A B A B deviations.15 -10% -10% -22% -22% + 72.6.05 -10 +10 -22 - 2 + 2.2.45 +10 +10 - 2 - 2 + 1.8.05 +10 +30 - 2 +18 - 1.8.25 +30 +30 +18 +18 + 81.0.05 +30 -10 +18 -22 - 19.8 Mean +12 +12 Total 136 Std dev +14 +14 Covariance Correlation = = =.6944 coefficient (sd A) x (sd B) 14 x 14 covariance136

24 Effect of changing correlations: Portfolio of Merck & McDonald

25 With a correlation of one, same as a weighted average. Portfolio Risk Example Suppose you invest 60% of your portfolio in Wal-Mart and 40% in IBM. The expected dollar return on your Wal-Mart stock is 10% and on IBM is 15%. The standard deviation of their annualized daily returns are 19.8% for Wal-Mart and 29.7% for IBM. Assume a correlation coefficient of 1.0 and calculate the portfolio variance.

26 Portfolio Risk with lower correlation: Example Suppose you invest 60% of your portfolio in Wal-Mart and 40% in IBM. The expected dollar return on your Wal-Mart stock is 10% and on IBM is 15%. The standard deviation of their annualized daily returns are 19.8% for Wal-Mart and 29.7% for IBM. Assume a correlation coefficient of 0.70 and calculate the portfolio variance. With a correlation less than one, less than a weighted average.

27 The set of portfolios Expected return Risk x x x x x x x x x x x x x x x x x x x x x x A B The set of portfolios between A and B are efficient portfolios

28 Adding a riskless asset to the efficient frontier riskless rate tangency portfolio

29 Capital asset pricing model Expected return Expected market return Risk free rate 0.51.0Beta r = r f + (r m - r f )

30 Beta Beta is a statistical measure of volatility It measures how responsive or sensitive a stock is to market movements in general An individual stock’s beta shows how it compares to the market as a whole: beta = 1 means equal risk with the market beta > 1 means more risky than the market beta < 1 means less risky than the market

31 Beta Computation Covariance with the market Variance of the market

32 Beta

33 Market risk (beta) for common stocks 1994 Stock Beta AT&T.92 Exxon.51 Biogen 2.20 Ford Motor Co. 1.12 Bristol Myers Squibb.97 General Electric 1.22 Coca Cola 1.12 McDonald’s 1.07 Compaq 1.18 Microsoft 1.23

34 Market risk (beta) for common stocks 2010* Stock Beta AT&T.63 Exxon.39 Biogen.68 Ford Motor Co. 2.79 Bristol Myers Squibb.59 General Electric 1.72 Coca Cola.51 McDonald’s.52 Hewlett-Packard 1.03 Microsoft 1.06 * Source: Finance.yahoo.com, which is based on 36 months of data and S&P500 as market index.


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