Question

In: Finance

Suppose that the index model for stocks A and B is estimated from excess returns with...

Suppose that the index model for stocks A and B is estimated from excess returns with the following results: RA = 3.5% + 0.65RM + eA RB = –1.6% + 0.80RM + eB σM = 21%; R-squareA = 0.22; R-squareB = 0.14 Assume you create a portfolio Q, with investment proportions of 0.50 in a risky portfolio P, 0.30 in the market index, and 0.20 in T-bill. Portfolio P is composed of 60% Stock A and 40% Stock B. a. What is the standard deviation of portfolio Q? (Calculate using numbers in decimal form, not percentages. Do not round intermediate calculations. Round your answer to 2 decimal places.) b. What is the beta of portfolio Q? (Do not round intermediate calculations. Round your answer to 2 decimal places.) c. What is the "firm-specific" risk of portfolio Q? (Calculate using numbers in decimal form, not percentages. Do not round intermediate calculations. Round your answer to 4 decimal places.) d. What is the covariance between the portfolio and the market index? (Calculate using numbers in decimal form, not percentages. Do not round intermediate calculations. Round your answer to 2 decimal places.)

Solutions

Expert Solution

A B C D E F G H I J
2
3 RA = 3.5% + 0.65RM + eA
4 RB = -1.6% + 0.80RM + eB
5
6 R-square A 0.22
7 R-square B 0.14
8
9 σM 21%
10 σ(T-bill) 0%
11
12
13 Portfolio P Market Index T-bill
14 Weight in portfolio Q 50% 30% 20%
15
16 Using the above equation,
17 A B
18 Beta 0.65 0.8
19 Weight 60% 40%
20 For portfolio equation will be
21 Rp = E(rp)+βp*RM+ep
22
23 Where E(rp) = ∑wiE(ri), βp= ∑wiβi and ep = ∑wiei
24
25 R-square is coefficient of determination which shows fraction of total variance explained by market
26 R-square =(β)2 (σM)2/(σ)2
27 or
28 (σ)2 =(β)2 (σM)2/R-square
29
30 (σA)2 0.0847 =((D18*D9)^2)/D6
31 (σB)2 0.2016 =((E18*D9)^2)/D7
32
33 Total variance (σ2) of the stock which is given by following formula:
34 (σ)2 =(β)2 (σM)22(e)
35
36 using the above equation
37 σ2(e) =(σ)2-(β)2 (σM)2
38
39 σ2(eA) 0.066059795 =D30-((D18*D9)^2)
40 σ2(eB) 0.173376 =D31-((E18*D9)^2)
41
42 σ2(ep) =∑wi2σ2(ei)
43 0.052 =(D19^2)*D39+(E19^2)*D40
44
45 βp = ∑wiβi
46 0.71 =D19*D18+E19*E18
47
48 Total variance (σ2) of the portfolio P is given by following formula:
49 (σp)2 =(βp)2 (σM)22(ep)
50 0.0738 =((D46*D9)^2)+D43
51
52 Cov(P,M) = βp*(σM)2
53 =0.71*((21%)^2)
54 0.031 =D46*(D9^2)
55
56 Since the t-bill has variance of zero, therefore
57 the variance of portfolio Q can be calculated as follows:
58 Var(Q) = w2P2(RP) + w2M2(RM) + 2*(wP)*(wM)*Cov(P, M)
59 =(0.50^2)*0.0738+(0.30^2)*(0.21^2)+2*0.50*0.30*0.031
60 0.0318 =(D14^2)*D50+(E14^2)*(D9^2)+2*D14*E14*D54
61
62 Hence Standard deviation of portfolio Q 0.18 =SQRT(D60)
63


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