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FM212 MT2014 Problem Set Solutions: Portfolio Risk and Return Calculations, Exercises of Accounting

Solutions to problem set questions related to portfolio risk and return. Topics include variance, beta, correlation, expected portfolio return, and portfolio standard deviation. It is essential for students studying finance, investments, or financial risk management.

Typology: Exercises

2015/2016

Uploaded on 11/08/2016

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FM212 MT2014 Problem Set Solutions
Class 5
13.
a. Variance measures the total risk of a security and is a measure of stand-alone risk. Total
risk has both unique risk and market risk. In a well-diversified portfolio, unique risks tend
to cancel each other out and only the market risk is remaining. Beta is a measure of
market risk and is useful in the context of a well-diversified portfolio. Beta measures the
sensitivity of the security returns to changes in market returns. Market portfolio has a
beta of one and is considered the average risk.
b. If we hold long positions in both stocks: the correlation coefficient that gives the
maximum reduction in risk for a two-stock portfolio is -1. If one stock is sold short and
another stock is a long position in the portfolio then a correlation of +1 is actually best to
minimize portfolio risk.
c. Mean A = 8%, Mean M=16%, Cov(Ra, Rm)=0.0138, Var(Rm)=0.0084,
Beta=0.0138/0.0084=1.643.
d. Cov(Rb,Rm)= (0.8)(0.20)(0.35) = 0.056, Beta = 0.056/0.04 = 1.4.
14. Expected portfolio return = x
A
E[R
A
] + x
B
E[R
B
] = 12% = 0.12
Let x
B
= (1 – x
A
)
x
A
(0.10) + (1 – x
A
) (0.15) = 0.12 x
A
= 0.60 and x
B
= 1 – x
A
= 0.40
Portfolio variance = x
A2
σ
A2
+ x
B2
σ
B2
+2 (x
A
x
B
ρ
AB
σ
A
σ
B
)
= (0.60
2
) (0.20
2
) + (0.40
2
) (0.40
2
) + 2(0.60)(0.40)(0.50)(0.20)(0.40) = 0.0592
Standard deviation =
24.33%0.0592σ==
15.
a. In general:
Portfolio variance = σ
P2
= x
12
σ
12
+ x
22
σ
22
+ 2x
1
x
2
ρ
12
σ
1
σ
2
Thus:
σ
P2
= (0.5
2
)(0.2932
2
)+(0.5
2
)(0.2927
2
)+2(0.5)(0.5)(0.59)(0.2932)(0.2927)
σ
P2
= 0.0682
Standard deviation = σ
P
= 26.12%
b. One of these securities, T-bills, has zero risk and, hence, zero standard deviation. Thus:
σ
P2
= (1/3)
2
(0.2932
2
) +(1/3)
2
(0.2927
2
)+2(1/3)(1/3)(0.59)(0.2932)(0.2927)
σ
P2
= 0.0303
Standard deviation = σ
P
= 17.41%
Another way to think of this portfolio is that it is comprised of one-third T-Bills and two-
thirds a portfolio which is half Dell and half Home Depot. Because the risk of T-bills is
zero, the portfolio standard deviation is two-thirds of the standard deviation computed in
Part (a) above:
Standard deviation = (2/3)(26.12%) = 17.41%
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FM212 MT2014 Problem Set Solutions

Class 5

a. Variance measures the total risk of a security and is a measure of stand-alone risk. Total risk has both unique risk and market risk. In a well-diversified portfolio, unique risks tend to cancel each other out and only the market risk is remaining. Beta is a measure of market risk and is useful in the context of a well-diversified portfolio. Beta measures the sensitivity of the security returns to changes in market returns. Market portfolio has a beta of one and is considered the average risk. b. If we hold long positions in both stocks: the correlation coefficient that gives the maximum reduction in risk for a two-stock portfolio is -1. If one stock is sold short and another stock is a long position in the portfolio then a correlation of +1 is actually best to minimize portfolio risk. c. Mean A = 8%, Mean M=16%, Cov(Ra, Rm)=0.0138, Var(Rm)=0.0084, Beta=0.0138/0.0084=1.643. d. Cov(Rb,Rm)= (0.8)(0.20)(0.35) = 0.056, Beta = 0.056/0.04 = 1.4.

  1. Expected portfolio return = xA E[RA ] + xB E[R (^) B ] = 12% = 0. Let xB = (1 – xA )

xA (0.10) + (1 – xA) (0.15) = 0.12 ⇒ xA = 0.60 and xB = 1 – xA = 0.

Portfolio variance = xA^2 σA^2 + xB^2 σB^2 +2 (xA xB ρAB σA σB) = (0.60 2 ) (0.20 2 ) + (0.40 2 ) (0.40 2 ) + 2(0.60)(0.40)(0.50)(0.20)(0.40) = 0.

Standard deviation = (^) σ = 0.0592=24.33%

a. In general:

Portfolio variance = σP^2 = x 12 σ 12 + x 22 σ 22 + 2x 1 x 2 ρ 12 σ 1 σ 2 Thus:

σP^2 = (0.5^2 )(0.2932^2 )+(0.5^2 )(0.2927^2 )+2(0.5)(0.5)(0.59)(0.2932)(0.2927)

σP^2 = 0.

Standard deviation = σP = 26.12%

b. One of these securities, T-bills, has zero risk and, hence, zero standard deviation. Thus:

σP^2 = (1/3)^2 (0.2932^2 ) +(1/3)^2 (0.2927^2 )+2(1/3)(1/3)(0.59)(0.2932)(0.2927)

σP^2 = 0.

Standard deviation = σP = 17.41%

Another way to think of this portfolio is that it is comprised of one-third T-Bills and two- thirds a portfolio which is half Dell and half Home Depot. Because the risk of T-bills is zero, the portfolio standard deviation is two-thirds of the standard deviation computed in Part (a) above: Standard deviation = (2/3)(26.12%) = 17.41%

FM212 MT2014 Problem Set Solutions

c. Let us call portfolio A the portfolio composed of half Dell and half Home Depot. The investor would like to invest in A by financing half of the investment with risk free borrowing. For each 2 dollars he invests in portfolio A he borrows 1 dollar and invests 1 dollar of his own wealth. Therefore, the portfolio weights will be: w (A)= 2, w (risk free)= -1. Given that the standard deviation of risk free asset is zero, the standard deviation of this portfolio is:

Standard deviation = 2 × 26.12% = 52.24%