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Consider an investor who has $ 2 0 , 0 0 0 for investment, and is investing in stocks X 1 , X 2 ,

Consider an investor who has $20,000 for investment, and is investing in stocks X1, X2, X3, X4. The
prices of these stocks during the last 12 months are provided in the table below. The investor also has an
option of keeping the money and not investing (Cash). Suppose that the objective is to maximize total
value of assets in the portfolio while also penalizing variability.
Month
123456789101112
X1404244404648504148384040
X2120118120116122115123124117119118116
X3606158525449553738403945
X412131415109121314161314
Probability 0.10.050.050.030.030.030.010.20.30.060.070.07
The prices (these are not net returns) shown are the closing prices on the last business day of each month.
Assume that you are currently in the end of month 12. i.e. purchasing prices for stocks are those of month
12.
Assume also that someone gave you the probability distribution for the 12 prices observed in the past as a
proxy for the likelihood of their occurrence in the future. This information is provided in the last row of
the table above.
Suppose that for ethical purposes the investor wishes to make sure that his combined allocation of funds
for X1 and X2 does not exceed combined allocation for X3 and X4.
For risk aversion coefficient assume the values of 0,0.0001,0.0005,0.001,0.004,0.007,0.01,0.05,0.2,
0.3.
1. Turn in the mathematical formulation of this problem (NO GAMS). Carefully, cleanly, and
clearly define all your sets and variables.
2. Use expected prices, based on past observations, for forecasting and determine the EV frontier
(Expected value- Variance graph, otherwise also known as locus of efficient portfolios). Turn in the
graph of the EV frontier.
3. Hand in your GAMS code which should include a report writing parameter. Report writing
parameter should display the table of results in the .lst file with risk aversion scenarios organized in
columns and corresponding outcomes in rows as shown below.
R1 R2 R3 R4 R5 R6 R7 R8 R9 R10
X1
X2
X3
X4
RAP
Cash
Expected Payoffs
Variance
Shadow price of funds

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