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Exercise 2 (12 points) Consider again the same data for your client as in exercise 1. Your clients degree of risk aversion i
Part 3: Quantitative exercises (60%) Exercise 1 (12 points) Consider as if you manage a risky portfolio with an expected rate
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Answer #1

Let us consider the Expected return of our porfolio (A) as ER(A) = 17% and Standard Deviation as SD(A)=27%

& T-Bill return (Risk Free -B) be ER(B) = 7% and SD(B)= 0

(Standard Deviation is used to measure risk & so for a Risk free security it is considered as Zero)

a. Expected Return of Portfolio be ER(P) = Weight of A x ER(A) + Weight of B x ER(B) = 70% * 17% + 30% * 7% = 14%

Standard Deviation of Portfolio be SD(P) =

Square root of [SD(A)2 * W(A)2 ] + [SD(B)2 * W(B)2 ] + 2 SD(A) * W(A) *SD(B) * W(B) * CovAB

= Sqrt of (0.27)2 * (0.7)2 + 0 + 0 = Sqrt of 0.0729 * 0.49 = 0.189 or 18.90%

b.Reward to Volatility Ratio (Reward shall be the return earned over and above risk free rate)

i. Our Portfolio = ER(A) - ER(Rf) divided by SD(A) = (17% - 7%) / 27% = 0.37

ii. Clients Portfolio = ER(P) - ER(Rf) divided by SD(P) = (14%-7%) / 18.9 = 0.37

c. Considering the same data above, the degree of risk aversion is 2.5, we will have to calculate utility score

= ER(P) - 0.5 * SD(P)2 * Degree of risk aversion

= 0.14 - 0.5 * 0.1892 * 2.5 = 0.14 -0.04465 = 0.09535 or 9.54%

Thus, the clients tolerance to risk can be measured by above number

Thus. the optimal portfolio will be one in which an expected return of 7.89% is earned

Hence, Let the weights be x and 1-x in our portfolio and T-Bills

0.0954 = x * 0.17 + (1 - x) * 0.07

W(A) = 25.40% & W(B) = 74.60%

d. Thus, ER(P) as above = 9.54%

e. SD(P) considering above ER(P) of 9.54% = Sq.root of (0.27)2 * (0.254)2 = Sq. root of (0.0729 * 0.0645)

= Sq Root of 0.0047025 = 0.0685 or 6.857%

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