Essentials Of Investments
Essentials Of Investments
11th Edition
ISBN: 9781260013924
Author: Bodie, Zvi, Kane, Alex, MARCUS, Alan J.
Publisher: Mcgraw-hill Education,
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l Turk Telekom 11:27 ni %40 bartleby.com שיגסרב / Finance / Q&A Library / Finance Question e Question actually been 0%. What would the new beta be, based on the most recent 11 years of data (i.e., Years 2 through 12)? Does this beta seem reasonable-that is, is the change in beta consistent with the other facts given in the problem? BETA COEFFICIENTS AND RATES OF RETURN You are given the following set of data: 8A-1 7 Historical Rates of Return (r) Stock Y(F,) NYSE (r.) Year 1 3.0% 4.0% 18.2 14.3 3 9.1 19.0 4 (6.0) (14.7) (15.3) (26.5) 33.1 37.2 7 6.1 23.8 8. 3.2 (7.2) 14.8 6.6 10 24.1 20.5 11 18.0 30.6 Mean 9.8% 9.8% 13.8 19.6 a. Construct a scatter diagram graph (on graph paper) showing the rela- tionship between returns on Stock Y and the market, as shown in
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Transcribed Image Text:l Turk Telekom 11:27 ni %40 bartleby.com שיגסרב / Finance / Q&A Library / Finance Question e Question actually been 0%. What would the new beta be, based on the most recent 11 years of data (i.e., Years 2 through 12)? Does this beta seem reasonable-that is, is the change in beta consistent with the other facts given in the problem? BETA COEFFICIENTS AND RATES OF RETURN You are given the following set of data: 8A-1 7 Historical Rates of Return (r) Stock Y(F,) NYSE (r.) Year 1 3.0% 4.0% 18.2 14.3 3 9.1 19.0 4 (6.0) (14.7) (15.3) (26.5) 33.1 37.2 7 6.1 23.8 8. 3.2 (7.2) 14.8 6.6 10 24.1 20.5 11 18.0 30.6 Mean 9.8% 9.8% 13.8 19.6 a. Construct a scatter diagram graph (on graph paper) showing the rela- tionship between returns on Stock Y and the market, as shown in
l Turk Telekom 11:27 ni %40 4 A bartleby.com ance / Q&A Library / Finance Question uestion Figure 8A.1; then draw a freehand approximation of the regression line. What is the approximate value of the beta coefficient? (If you have a calculator with statistical functions, use it to calculate beta.) b. Give a verbal interpretation of what the regression line and the beta coefficient show about Stock Y's volatility and relative riskiness as compared with other stocks. c. Suppose the scatter of points had been more spread out, but the regression line was exactly where your present graph shows it. How would this affect (1) the firm's risk if the stock were held in a one- asset portfolio and (2) the actual risk premium on the stock if the CAPM held exactly? How would the degree of scatter (or the correla- tion coefficient) affect your confidence that the calculated beta will hold true in the years ahead? d. Suppose the regression line had been downward sloping and the beta coefficient had been negative. What would this imply about (1) Stock Y's relative riskiness and (2) its probable risk premium? Construct an illustrative probability distribution graph of returns (see Figure 8.3) for portfolios consisting of (1) only Stock Y, (2) 1% each of 100 stocks with beta coefficients similar to that of Stock Y, and (3) all stocks (i.e., the distribution of returns on the market). Use as the expected rate of return the arithmetic mean as given previously for both Stock Y and the market, and assume that the distributions are normal. Are the expected returns "reasonable"; that is, is it reasonable that f, = fM = 9.8%? е. f. Now, suppose that in the next year, Year 12, the market return was 27%, but Firm Y increased its use of debt, which raised its perceived risk to investors. Do you think that the return on Stock Y in Year 12 could be approximated by this historical characteristic line? î, = 3.8% + 0.62(r,) = 3.8% + 0.62(27%) = 20.5% g. Now, suppose r, in Year 12, after the debt ratio was increased, had actually been 0%. What would the new beta be, based on the most recent 11 years of data (i.e., Years 2 through 12)? Does this beta seem reasonable-that is, is the change in beta consistent with the other facts given in the problem?
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Transcribed Image Text:l Turk Telekom 11:27 ni %40 4 A bartleby.com ance / Q&A Library / Finance Question uestion Figure 8A.1; then draw a freehand approximation of the regression line. What is the approximate value of the beta coefficient? (If you have a calculator with statistical functions, use it to calculate beta.) b. Give a verbal interpretation of what the regression line and the beta coefficient show about Stock Y's volatility and relative riskiness as compared with other stocks. c. Suppose the scatter of points had been more spread out, but the regression line was exactly where your present graph shows it. How would this affect (1) the firm's risk if the stock were held in a one- asset portfolio and (2) the actual risk premium on the stock if the CAPM held exactly? How would the degree of scatter (or the correla- tion coefficient) affect your confidence that the calculated beta will hold true in the years ahead? d. Suppose the regression line had been downward sloping and the beta coefficient had been negative. What would this imply about (1) Stock Y's relative riskiness and (2) its probable risk premium? Construct an illustrative probability distribution graph of returns (see Figure 8.3) for portfolios consisting of (1) only Stock Y, (2) 1% each of 100 stocks with beta coefficients similar to that of Stock Y, and (3) all stocks (i.e., the distribution of returns on the market). Use as the expected rate of return the arithmetic mean as given previously for both Stock Y and the market, and assume that the distributions are normal. Are the expected returns "reasonable"; that is, is it reasonable that f, = fM = 9.8%? е. f. Now, suppose that in the next year, Year 12, the market return was 27%, but Firm Y increased its use of debt, which raised its perceived risk to investors. Do you think that the return on Stock Y in Year 12 could be approximated by this historical characteristic line? î, = 3.8% + 0.62(r,) = 3.8% + 0.62(27%) = 20.5% g. Now, suppose r, in Year 12, after the debt ratio was increased, had actually been 0%. What would the new beta be, based on the most recent 11 years of data (i.e., Years 2 through 12)? Does this beta seem reasonable-that is, is the change in beta consistent with the other facts given in the problem?
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