1. Risk and Rates of Return Besley: Chapter 5 Pages 179-198

2. Risk and Investing The Rules: –Investing is risky. –Risk is manageable. Types of Risk: – Diversifiable Risk – Can be eliminated through diversification. – Nondiversifiable Risk

3. Defining and Measuring Risk  Risk is the chance that an outcome other than the expected outcome will occur.  A Probability Distribution lists all possible outcomes and the probability of each outcome. The probabilities must sum to 1.0 (100%)

4. Defining and Measuring Risk Stand-Alone Risk is that risk which is associated with an investment that which is held on its own. Portfolio Risk is that risk which is associated with an investment that which is maintained in a portfolio of investments.

5. Probability Distributions Flip a Coin: OutcomeProbability Heads50% Tails50% 100% Chance of Snow: OutcomeProbability Snow50% Rain30% No Snow20% /Rain 100% Probability Distribution: a listing of all possible outcomes with the likelihood of each possibility indicated.

6. Probability Distributions Martin Products and U. S. Electric

7. Expected Rate of Return The rate of return expected to be realized from an investment The mean value of the probability distribution of possible returns The weighted average of the outcomes, where the weights are the probabilities

8. Expected Rate of Return (1)(2)(3)= (4)(5)= (6) Boom0.2110%22%20%4% Normal0.522%11%16%8% Recession0.3-60%-18%10%3% 1.0k m = 15%k US = 15% State of the Economy Martin ProductsU. S. Electric Return if This State Occurs (k i ) Product: (2) x (5) Probability of This State Occurring (Pr i ) Return if This State Occurs (k i ) Product: (2) x (3) ^^

9. Expected Rate of Return

10. Continuous versus Discrete Probability Distributions Discrete Probability Distribution: the number of possible outcomes is limited, or finite

11. Discrete Probability Distributions -60 -45 -30 -15 0 15 22 30 45 60 75 90 110 Rate of Return (%) Expected Rate of Return (15%) a. Martin Products Probability of Occurrence -10 -5 0 5 10 16 20 25 Rate of Return (%) Expected Rate of Return (15%) b. U. S. Electric Probability of Occurrence 0.5 - 0.4 - 0.3 - 0.2 - 0.1 - 0.5 - 0.4 - 0.3 - 0.2 - 0.1 -

12. Continuous versus Discrete Probability Distributions Continuous Probability Distribution: the number of possible outcomes is unlimited, or infinite

13. -60 0 15 110 Rate of Return (%) Expected Rate of Return Martin Products Probability Density Continuous Probability Distributions A tighter probability distribution is representative of lower risk.

14. Measuring Risk: The Standard Deviation Calculating Martin Products’ Standard Deviation ^ ^ ^^

15. Measuring Risk: The Standard Deviation  provides a definite value that represents the “tightness” of the probability distribution. A lower standard deviation indicates a tighter probability distribution, and the less risk associated with that particular stock.

16. Measuring Risk: Coefficient of Variation Standardized measure of risk per unit of return Calculated as the standard deviation divided by the expected return Useful where investments differ in risk and expected returns k ˆReturn Risk CV Coefficient of variation  

17. Risk Aversion Risk-averse investors require higher rates of return to invest in higher-risk securities

18. Risk Aversion and Required Returns Risk Premium (RP) –The portion of the expected return that can be attributed to the additional risk of an investment –The difference between the expected rate of return on a given risky asset and that on a less risky asset

19. Portfolio Returns 4 Expected return on a portfolio, k p The weighted average expected return on the stocks held in the portfolio ^ W 1 is that stocks portion of the portfolio’s dollar value; therefore the sum of the W’s must equal 1.

20. 4 Unlike returns, portfolio risk is not a weighted average of the standard deviations of the individual stocks (the portfolio’s risk is usually smaller). 4 Realized rate of return, k is the actual return earned, and usually differs from the expected return. _ Portfolio Risk & Returns

21. Returns Distribution for Two Perfectly Negatively Correlated Stocks (r = -1.0) and for Portfolio WM: 25 15 0 -10 0 0 15 25 Stock WStock MPortfolio WM

22. Returns Distributions for Two Perfectly Positively Correlated Stocks (r = +1.0) and for Portfolio MM: Stock M 0 15 25 -10 0 15 25 -10 Stock M’ 0 15 25 -10 Stock MM’

23. Portfolio Risk è Correlation Coefficient, r Ù A measure of the degree of relationship between two variables Ù Perfectly correlated stocks rates of return move together in the same direction (+1.0) Ù Negatively correlated stocks have rates of return that move in opposite directions (-1.0) Ù Uncorrelated stocks have rates of return which move independently on one another (0.0)

24. è Risk Reduction Ù Combining stocks that are not perfectly correlated will reduce the portfolio risk by diversification Ù The riskiness of a portfolio is reduced as the number of stocks in the portfolio increases Ù The smaller the positive correlation, the lower the risk Portfolio Risk

25. Actual Stock Prices and Returns S&P 500 over 10 years