Question

Here are some historical data on the risk characteristics of Bank of America and Starbucks. Bank...

Here are some historical data on the risk characteristics of Bank of America and Starbucks.

Bank of America Starbucks
β (beta) 1.68 .73
Yearly standard deviation of return (%) 30.7 17.0

Assume the standard deviation of the return on the market was 19%. (Use decimals, not percents, in your calculations.)

     

a. The correlation coefficient of Bank of America's return versus Starbucks is .44. What is the standard deviation of a portfolio invested half in each stock? (Do not round intermediate calculations. Enter your answer as a percent rounded to 2 decimal places.)

Standard deviation             %

b. What is the standard deviation of a portfolio invested one-third in Bank of America, one-third in Starbucks, and one-third in risk-free Treasury bills? (Do not round intermediate calculations. Enter your answer as a percent rounded to 2 decimal places.)

Standard deviation             %

c. What is the standard deviation if the portfolio is split evenly between Bank of America and Starbucks and is financed at 50% margin, that is, the investor puts up only 50% of the total amount and borrows the balance from the broker? (Do not round intermediate calculations. Enter your answer as a percent rounded to 2 decimal places.)

Standard deviation             %

d-1. What is the approximate standard deviation of a portfolio comprised of 100 stocks with betas of 1.68 like Bank of America? (Do not round intermediate calculations. Enter your answer as a percent rounded to 2 decimal places.)

Standard deviation             %

d-2. What is the approximate standard deviation of a portfolio comprised of 100 stocks with betas of .73 like Starbucks? (Do not round intermediate calculations. Enter your answer as a percent rounded to 2 decimal places.)

Standard deviation             %

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Answer #1

Standard deviation for portfolio of two stocks is calculated by = sqrt{(w1^{2} sigma 1^{2})+(w2^{2} sigma 2^{2})+ (2* w1* w2*sigma 1 *sigma 2* ho )}

where w1 and w2 are weights of stocks in the portfolio , σ1, σ2 are standard deviations of the stocks and ho is correlation between the two

a) sigma p = sqrt{(w1^{2}sigma 1^{2})+(w2^{2}sigma 2^{2})+ (2* w1* w2*sigma 1 *sigma 2* ho )}

= (0.5 +30.72)+ (0.52 +172)+(2 0.5+ 0.5+30.7*17*0.44) =20.5594 %

b) As treasury bills are risk free , their standard deviation = 0 . Also correlation between treasury bill and stocks = 0

Standard deviation for portfolio of three assets is calculated by =

sqrt{(w1^{2} sigma 1^{2})+(w2^{2} sigma 2^{2})+(w3^{2} sigma 3^{2})+ (2* w1* w2*sigma 1 *sigma 2* ho(1,2)) +(2* w2* w3*sigma 2*sigma 3* ho (2,3))+(2* w1* w3*sigma 1 *sigma 3* ho (1,3))}= (0.332 30.72)(0.332 17)+(0.332 *02)(20.33 0.33 30.7 17*0.44)(20.330.3330.7*00)(2 0.33 0.33 *0 17 0) =13.569%

c) Where 50% of the amount is financed , weight of risk free treasury bills = -50%

so weight of each stock can be given by equation w1+ w2 + (-50%) = 100% here w1 = w2 as the portfolio is split evenly between Bank of America and Starbucks.

2w =150% , w = 75%

Standard deviation for portfolio of three assets is calculated by =

sqrt{(w1^{2} sigma 1^{2})+(w2^{2} sigma 2^{2})+(w3^{2} sigma 3^{2})+ (2* w1* w2*sigma 1 *sigma 2* ho(1,2)) +(2* w2* w3*sigma 2*sigma 3* ho (2,3))+(2* w1* w3*sigma 1 *sigma 3* ho (1,3))}= V(0.75? * 30.72) + (0.75? * 172) + +(一0.5? * 02) (2 * 0.75 * 0.75 * 30.7 * 17 * 0.44) + (2 * 0.75 *一0.5 * 30.7 * 0 * 0) (2 * =30.839%

d) Standard deviation for portfolio of n similar assets = n * V ( (1/n)2 * σ2) = n* 1/n * sigma = sigma

d-1) standard deviation of a portfolio comprised of 100 stocks with betas of 1.68 like Bank of America = standard deviation of Bank of America = 30.7%

d-2) standard deviation of a portfolio comprised of 100 stocks with betas of .73 like Starbucks = standard deviation of Starbucks = 17%

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