Math Problem Statement

As part of their investment strategy, the Carringtons have decided to put $100,000 into stock market investments and also into purchasing precious metals. The performance of the investments depends on the state of the economy in the next year. In an expanding economy, it is expected that their stock market investment will outperform their investment in precious metals, whereas an economic recession will have precisely the opposite effect. Suppose the following payoff matrix gives the expected percentage increase or decrease in the value of each investment for each state of the economy. Expanding Economic economy recession Stock market investment Commodity investment

30 10 -10 25

(a) Determine the optimal investment strategy for the Carringtons' investment of $100,000. (Round your answers to the nearest dollar.) stocks $ commodities $

(b) What profit can the Carringtons expect to make on their investments over the year if they use their optimal investment strategy? (Round your answer to the nearest dollar.) $

Solution

To determine the optimal investment strategy for the Carringtons, we apply the expected value calculation based on the given payoff matrix. Assuming the Carringtons are uncertain about the probabilities of economic expansion and recession, we maximize the payoff under an equal probability assumption or use the given probabilities if specified.

Given Payoff Matrix:

  • Stock Market:
    • Expanding economy: +30%
    • Economic recession: -10%
  • Commodities:
    • Expanding economy: +10%
    • Economic recession: +25%

Let the fraction of the $100,000 investment in stocks be xx, and the fraction in commodities be 1x1 - x. Their respective payoffs depend on the state of the economy.

Total payoff in each state:

  • Expanding economy payoff: Pexp=x30+(1x)10P_{\text{exp}} = x \cdot 30 + (1 - x) \cdot 10
  • Recession economy payoff: Prec=x(10)+(1x)25P_{\text{rec}} = x \cdot (-10) + (1 - x) \cdot 25

Overall expected payoff:

Assuming equal probabilities (50% each for expansion and recession), the expected payoff E(x)E(x) is: E(x)=0.5Pexp+0.5PrecE(x) = 0.5 \cdot P_{\text{exp}} + 0.5 \cdot P_{\text{rec}} Substituting for PexpP_{\text{exp}} and PrecP_{\text{rec}}: E(x)=0.5(30x+1010x)+0.5(10x+2525x)E(x) = 0.5 \cdot \big(30x + 10 - 10x\big) + 0.5 \cdot \big(-10x + 25 - 25x\big) Simplify: E(x)=0.5(20x+10)+0.5(35x+25)E(x) = 0.5 \cdot (20x + 10) + 0.5 \cdot (-35x + 25) E(x)=10x+517.5x+12.5E(x) = 10x + 5 - 17.5x + 12.5 E(x)=7.5x+17.5E(x) = -7.5x + 17.5

Maximizing the expected payoff:

The function E(x)=7.5x+17.5E(x) = -7.5x + 17.5 is linear. The payoff decreases as xx increases. Therefore, to maximize the payoff, xx should be as small as possible (x=0x = 0).

Optimal strategy:

  • Invest 0% in stocks (x=0x = 0), and 100% in commodities (1x=11 - x = 1).

Final Investment Allocation:

  • Stocks: 100,0000=0100,000 \cdot 0 = 0
  • Commodities: 100,0001=100,000100,000 \cdot 1 = 100,000

Expected Profit:

Using the optimal strategy (x=0x = 0):

  • Expanding economy payoff: Pexp=10%×100,000=10,000P_{\text{exp}} = 10\% \times 100,000 = 10,000
  • Recession economy payoff: Prec=25%×100,000=25,000P_{\text{rec}} = 25\% \times 100,000 = 25,000

Expected profit: E(x)=0.510,000+0.525,000=5,000+12,500=17,500E(x) = 0.5 \cdot 10,000 + 0.5 \cdot 25,000 = 5,000 + 12,500 = 17,500

Final Answers:

(a) Investment allocation:

  • Stocks: $0
  • Commodities: $100,000

(b) Expected profit: $17,500

Would you like additional details or have any follow-up questions? Here are some related questions to consider:

  1. How would the strategy change if the probabilities of expansion and recession were different?
  2. What happens to the expected profit if more is allocated to stocks?
  3. How would diversification (not allocating entirely to commodities) impact risk and profit?
  4. What additional information could improve the investment decision?
  5. How would this analysis change with transaction fees or market constraints?

Tip: Always consider diversification to mitigate risks when dealing with uncertain economic outcomes.

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Math Problem Analysis

Mathematical Concepts

Linear optimization
Expected value
Decision-making under uncertainty

Formulas

Expected value: E(x) = Σ [P(state) * Payoff(state)]
Linear equation: y = mx + c for optimization

Theorems

Expected Value Theorem
Linear programming principles

Suitable Grade Level

Grades 11-12 or undergraduate level