The table below shows data on the returns over five 1-year periods for seven mutual funds. A firm's portfolio managers will assume that one of these scenarios will accurately reflect the investing climate over the next 12 months. The probabilities of each of the scenarios occurring are 0.1, 0.3, 0.1, 0.1, and 0.4 for years 1 to 5, respectively.
RETURNS OVER FIVE 1-YEAR PERIODS FOR SEVEN MUTUAL FUNDS | |||||
Planning Scenarios for Next 12 Months | |||||
Mutual Funds | Year 1 | Year 2 | Year 3 | Year 4 | Year 5 |
Large-Cap Stock | 35.3 | 20.0 | 28.3 | 10.4 | -9.3 |
Mid-Cap Stock | 32.3 | 23.2 | -0.9 | 49.3 | -22.8 |
Small-Cap Stock | 20.8 | 22.5 | 6.0 | 33.3 | 6.1 |
Energy/Resources Sector | 25.3 | 33.9 | -20.5 | 20.9 | -2.5 |
Health sector | 49.1 | 5.5 | 29.7 | 77.7 | -24.9 |
Technology Sector | 46.2 | 21.7 | 45.7 | 93.1 | -20.1 |
Real Estate Sector | 20.5 | 44.0 | -21.1 | 2.6 | 5.1 |
Develop a portfolio model for investors who are willing to risk
a portfolio with a return no lower than 2%. Round your answers to
one decimal place. For subtractive or negative numbers use a minus
sign even if there is a + sign before the blank. If the constant is
"1" it must be entered in the box.
To determine the percentage of the portfolio that will be invested
in each of the mutual funds we use the following decision
variables:
LS = proportion of portfolio invested in a large-cap stock mutual fund | |
MS = proportion of portfolio invested in a mid-cap stock fund | |
SS = proportion of portfolio invested in a small-cap growth fund | |
ES = proportion of portfolio invested in an energy sector fund | |
HS = proportion of portfolio invested in a health sector fund | |
TS = proportion of portfolio invested in a technology sector fund | |
RS = proportion of portfolio invested in a real estate sector fund |
Max | ||||||||||||||
s.t. | ||||||||||||||
LS | + | MS | + | SS | + | ES | + | HS | + | TS | + | RS | ||
LS | + | MS | + | SS | + | ES | + | HS | + | TS | + | RS | ≥ | |
LS | + | MS | + | SS | + | ES | + | HS | + | TS | + | RS | ≥ | |
LS | + | MS | + | SS | + | ES | + | HS | + | TS | + | RS | ≥ | |
LS | + | MS | + | SS | + | ES | + | HS | + | TS | + | RS | ≥ | |
LS | + | MS | + | SS | + | ES | + | HS | + | TS | + | RS | ≥ | |
LS | + | MS | + | SS | + | ES | + | HS | + | TS | + | RS | = | |
LS, MS, SS, ES, HS, TS, RS | ≥ | 0 |
Solve the model in part (a) and recommend a portfolio allocation
for the investor with this risk tolerance. Round portfolio return
to three decimal places and other answers to one decimal place. If
your answer is zero, enter "0".
The recommended allocation is to invest as follows:
__% | of the portfolio in the large-cap stock mutual fund |
__% | of the portfolio in the mid-cap stock fund |
__% | of the portfolio in the small-cap stock fund |
__% | of the portfolio in the energy sector fund |
__% | of the portfolio in the health sector fund |
__ % | of the portfolio in the technology sector fund |
__ % | of the portfolio in the real estate sector fund |
The expected portfolio return is ______%
Modify the portfolio model in part (a) and solve it to develop a
portfolio for an investor with a risk tolerance of 0%. Round
portfolio return to three decimal places and other answers to one
decimal place. If your answer is zero, enter "0".
The recommended allocation is to invest as follows:
__ % | of the portfolio in the large-cap stock mutual fund |
__ % | of the portfolio in the mid-cap stock fund |
__ % | of the portfolio in the small-cap stock fund |
__ % | of the portfolio in the energy sector fund |
__ % | of the portfolio in the health sector fund |
__ % | of the portfolio in the technology sector fund |
__% | of the portfolio in the real estate sector fund |
The expected portfolio return is _______ %.
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