UNIVERSITY OF TORONTO
Joseph L. Rotman School of Management
RSM332 PROBLEM SET #3
1. Consider three securities with the following payoffs for different states of the economy:
Economic State Probability R1 R2 R3
Recession 0.4 30% ?30% 10%
Normal 0.4 10% 30% 15%
Expansion 0.1 10% 50% 25%
Boom 0.1 0% 120% 45%
(a) What is the expected return and standard deviation on each security?
(b) What is Cov(R1, R2), Cov(R1, R3), and Cov(R2, R3)? What is Corr(R1, R2),
Corr(R1, R3), and Corr(R2, R3)?
(c) What is the expected return, μp, and standard deviation, σp, of a portfolio which
has its funds invested equally in (i) securities #1 and #2, or (ii) securities #1 and #3,
or (iii) securities #2 and #3?
(d) What is μp and σp, of a portfolio which has its funds invested equally in securities
#1 to #3?
(e) What is the correlation of the return of the portfolio in part (d) with the return of
an equally weighted portfolio of securities #1 and #2?
2. An investor has an opportunity to invest in two risky assets and a risk-free asset. The
expected return of the two risky assets are μ1 = 0.12, μ2 = 0.15. Their standard
deviations are σ1 = 0.05 and σ2 = 0.1, and the correlation coefficient between their
return is 0.2. The risk-free rate is 0.05. Suppose the investor has $1000 and he wants
to hold a portfolio with expected return of 0.1. If the investor is risk averse, how much
should he invest in the two risky assets and the risk-free asset?
3. The Sharpe ratio of a portfolio p is defined as
SR(p) = E[Rp] ? RF
σp
,
where σp is the standard deviation of the portfolio. Suppose a portfolio T is the
tangency portfolio (the tangency portfolio is the portfolio which has the maximum
Sharpe ratio among all the portfolios) and it has a Sharpe ratio of 0.6. Also consider a
portfolio p which may or may not be on the mean-variance efficient frontier. You find
out that the correlation between the returns of portfolios p and T is 0.5. What is the
Sharpe ratio of portfolio p? You need to show the work to support your answer.
1
4. hw3.xlsx contains the monthly return data for Microsoft (MSFT), IBM (IBM), Apple
(AAPL) and Hewlett-Packard (HPQ) for the period 2008/1–2017/12.
(a) Report the average return and sample covariance matrix of the four stocks based
on the monthly data.
(b) Using the estimates from part (a) as the expected returns and covariance matrix
for the four stocks, find out the global minimum variance portfolio of the four stocks
assuming (i) short-selling is allowed, and (ii) short-selling is not allowed.
(c) Using the estimates from part (a) as the expected return and covariance matrix for
the four stocks, find out the tangency portfolio of the four stocks assuming (i) shortselling
is allowed, and (ii) short-selling is not allowed. Assume a monthly risk-free rate
of 0.1%/month.
Note: To do optimization in Excel, you may want to use “Tools, Solver.”
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