DO NOT COPY PORTFOLIO SELECTION AND THE CAPITAL ASSET PRICING MODEL

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2 -- UVA-F-1604 Portfolio Selection We will begin this analysis by considering just single investments and then proceed to add additional alternatives, including portfolios combining individual investments. 1 The analysis will make use of basic statistical descriptions of returns and employ a very simple regression analysis. Step 1: Calculate the realized returns for a hypothetical portfolio invested equally in the three stocks. You may simply average the three returns. We will refer to this as the equally weighted portfolio. Calculate the mean (average) realized return and standard deviation of the realized returns for each stock, the S&P 500 index, and the equally weighted portfolio. Compare and contrast the mean and standard deviations of these five possible investments. What are the noticeable differences? When choosing between the three individual stock investments and ignoring combinations of these investments, which would you suggest to our hypothetical investors? Why? How does your answer change if you add the index as an allowable investment? Step : Calculate the correlation between each of the three stocks and between the S&P 500 and the equally weighted portfolio. Assume that the average return, standard deviation and correlation of each of these assets from 1990 to 009 are a good estimate of these same measures for the future. Using the template provided in the second tab, construct a graph that shows the expected future relation between the returns (vertical axis) and standard deviations (horizontal axis) of a pair of the stock investments (your choice which pair). 3 1 A portfolio can consist of a single investment and need not have more than one component. Averaging the returns implicitly assumes that each month, you are rebalancing the portfolio so that an equal value is invested in each stock. 3 The template produces the graph by first generating a set of observations and then plotting those observations. This is done as follows. A table was created that has one column with the weight assigned to one stock (using increments of 1%); a second column with the weight assigned to the second stock (one minus the weight of the first stock); a third column with the anticipated mean return of this two-asset portfolio based on the weights and the historic mean returns; and a fourth column with the anticipated standard deviation of this two-asset portfolio based on the weights, standard deviations, and correlation. The formula for the mean would be r p w1 r1 w r where r p is the portfolio return, r 1 is the mean historic return of stock number one, r is the mean historic return of stock number two, and w refers to the proportional weight invested in each subscripted security. For example, if 30% of a portfolio is invested in security number one, then w 1 = 0.30 and, since all weights must sum to 1, w would equal For the standard deviation, the formula would be p sqrt ( w1 1 w std w1w 1 corr1, ) where σ denotes the standard deviation of historic returns for the subscripted security, corr denotes the correlation between the subscripted securities, and the p subscript indicates the portfolio you are examining. The resulting expected returns are plotted against the standard deviations.

3 -3- UVA-F-1604 Is there an intuitive explanation for the shape of the curve you have generated? How does the shape of the curve change as you alter the correlation (which is bounded by 1 and 1, inclusive)? What do the correlations between the individual stocks indicate? What insight is provided by the correlation between the equally weighted portfolio and the S&P 500 index? Step 3: Using the template provided, construct a graph that shows the expected returns and standard deviations of all possible combinations of the three stocks. This graph was constructed in a fashion analogous to the two-asset graph, but expanded to three stocks. 4 This graph describes the complete investment space offered by the three stock investments. Restricting yourself to combinations of the three stocks, what portfolio of stock investments would you recommend for our two hypothetical investors? Locate the S&P 500 index on this graph. Explain the location of this index relative to the set of possible three-stock combinations. Step 4: We can expand the set of financial assets by considering a risk-free bond (U.S. government security). We will assume that the return on the bond is 0.45% a month, which is about 5.5% per year. What would be the diversification benefits from adding a bond? This risk-free asset can be combined with the market portfolio to yield another set of possible investments. This line is referred to as the capital market line. Add the capital market line to your graph from Step 3. The can be done by adding points to the graph that represent linear combinations of the bond and the market. Explain the shape of the capital market line. Now consider all the possible investments you have identified (the three individual stocks, all combinations of the three stocks, the index, and the security market line). What would you recommend to our two hypothetical investors? Be very specific in your recommendation. 4 The formula for the mean would be r p w1 r1 w r w3 r3 and for the standard deviation for three stocks would be p sqrt ( w1 1 w w3 3 w1w 1 corr1, w1w3 1 3corr1,3 ww3 3corr,3 ). Given the number of possible combinations, the graph uses increments of 5% in the weights and starts by generating all 5% incremented combinations of weights on the three stock investments.

4 -4- UVA-F-1604 Individual Asset Returns It should be clear from the previous steps that portfolios of stocks offer significant advantages over individual stocks. In fact, a case could be made that an extremely broad portfolio (a market index) is the optimal portfolio of risky investments, and this portfolio would be combined with an appropriate amount of riskless bonds to achieve a desired optimal overall investment portfolio. The optimality of holding portfolios has important implications for individual stocks. When considering the riskiness of an individual stock, investors will ignore the total risk of the stock (since much of it will be diversified away) and consider only that level of risk that cannot be diversified away. This can be described as the risk an individual stock adds to a particular portfolio. The remaining steps develop a measure of this risk and link that measure to returns. Step 5: To measure the risk a stock adds to a given portfolio, one simply regresses the returns of the individual stock on the returns of the portfolio. The regression coefficient on the portfolio reflects exactly that risk. For example, if we regress an individual stock s returns on a broad market index, the resulting coefficient on the market is called a market beta (or, more commonly, simply the beta). The beta reflects the variation in individual stock returns that cannot be diversified away. One simple form for the regression is the following: 5 r i, t alpha beta rm, t t (1) In the regression model above, returns are observed for each time period t for an individual stock i and market return m. The regression acknowledges individual error terms each period of ε since stock returns will deviate from this relation due to firm-specific events. Please calculate the alpha and beta for each of the three stocks relative to the S&P 500 index. This can be done using the regression tool from the Data Analysis Toolkit in Excel or using the following simple formulas: corr i, m i beta m alpha r beta i r m The regression analysis will provide additional statistical information on the relationship, but the above equations are sufficient. () (3) 5 Market beta regressions are often run using returns in excess of a risk-free rate and are often also adjusted for various statistical problems; however, this simple form typically provides very similar results.

6 -6- UVA-F-1604 behavior would indicate future (expected) behavior. There are a number of reasons one needs to be cautious about this assumption, and in many cases the results for past data would not be a reasonable estimate for the future. Applying the ideas developed here should be based on best estimates of future expected return behavior.

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This is the trade-off between the incremental change in the risk premium and the incremental change in risk.

I. The Capital Asset Pricing Model A. Assumptions and implications 1. Security markets are perfectly competitive. a) Many small investors b) Investors are price takers. Markets are frictionless a) There

Diversification and the Risk-Return Trade-Off Dr. Patrick Toche References : Zvi Bodie, Alex Kane, Alan Marcus, Investments, McGraw-Hill/Irwin. The relevant chapters of this textbook will be followed closely