Question: Q . 2 ( Portfolio optimization with no - shortselling, 3 5 p t s ) . In the lectures, we consider portfolio optimization problems

Q.2(Portfolio optimization with no-shortselling, 35pts). In the lectures, we consider
portfolio optimization problems in which shortselling is allowed. This idealization
allows us to solve the problems analytically using Lagrange duality. The purpose of
this exercise to push us to think about the case where shortselling is not allowed.
To that end, consider a market with three risky assets with respective risk levels 1,2,
3, all strictly positive. The returns of the first two assets are correlated with correlation
coefficient 12. Assume that 21121. The return of the third asset is uncorrelated
with the returns of the first two assets. A risk-averse investor with positive intial wealth
wants to choose a portfolio for themself.
First, consider the situation where shortselling is allowed.
a.(5) Show that there is a unique minimum variance portfolio (MVP). Calculate the
weights of the MVP. Show that the MVP has shortselling.
Now, suppose that shortselling is no longer allowed.
b.(5) In a generic portfolio, denote the weight of the first asset by a variable s, denote
the weight of the second asset by a variable t. Using only s,t as decision vari-
ables, formulate the problem of finding an MVP with no-shortselling. Express the
objective function as explicitly as possible.
c.(5) Among all portfolios with no-shortselling and no investment in the first asset,
find the one with minimum variance of return.
d.(5) Among all portfolios with no-shortselling and no investment in the second asset,
find the one with minimum variance of return.
e.(5) Compare the risks of the two portfolios that you find in c. and d. Which one has
smaller risk?
f.(10) Show that the portfolio that wins in e. is indeed the unique optimal solution of
the problem in b.
Hint: Draw pictures of the contour curves of the quadratic objective function.
 Q.2(Portfolio optimization with no-shortselling, 35pts). In the lectures, we consider portfolio

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