Math Problem Statement
Sandra has at most $50,000 to invest in stocks, bonds, and money market funds. She expects annual yields of 15%, 10%, and 8%, respectively, on these investments. If Sandra wants at least $12,500 to be invested in money market funds and requires that the amount invested in bonds be greater than or equal to the sum of her investments in stocks and money market funds, determine how much she should invest in each vehicle to maximize the return on her investments. stocks $ bonds $ money market funds $
What is the maximum return? $
Solution
To solve Sandra's investment problem, we need to maximize her return while satisfying the constraints. This is a linear programming problem. Here's how we can structure and solve it:
Variables:
- Let = amount invested in stocks (in dollars).
- Let = amount invested in bonds (in dollars).
- Let = amount invested in money market funds (in dollars).
Objective Function:
Maximize , where is the total return.
Constraints:
- (Total investment limit).
- (At least $12,500 in money market funds).
- (Investment in bonds must be greater than or equal to the sum of stocks and money market funds).
- (Non-negativity).
Let me calculate the optimal investment distribution to maximize Sandra's return..optimize import linprog
Coefficients of the objective function (negative for maximization)
c = [-0.15, -0.10, -0.08] # Maximize return
Coefficients for the inequality constraints
A = [ [1, 1, 1], # Total investment constraint [-1, 0, 0], # Non-negativity constraint for stocks [0, -1, 0], # Non-negativity constraint for bonds [0, 0, -1], # Non-negativity constraint for money market funds [-1, -1, 1], # Bonds >= stocks + money market ] b = [50000, 0, 0, -12500, 0] # Corresponding bounds for inequalities
Bounds for each variable
x_bounds = (0, None) # Stocks must be non-negative y_bounds = (0, None) # Bonds must be non-negative z_bounds = (12500, None) # Money market funds must be >= 12,500
Solve the linear programming problem
result = linprog(c, A_ub=A, b_ub=b, bounds=[x_bounds, y_bounds, z_bounds], method='highs')
Extract results
optimal_investment = result.x max_return = -result.fun # Convert back to positive since we negated c
optimal_investment,The optimal investment strategy for Sandra is as follows:
- Stocks: $37,500
- Bonds: $0
- Money Market Funds: $12,500
Maximum Return:
The maximum return is $6,625.
Would you like a detailed explanation of how this was calculated? Here are 5 related questions to deepen your understanding:
- What happens if Sandra increases her total investment limit?
- How do the returns change if the yields on bonds or stocks improve?
- What are the implications of changing the constraint on bonds being greater than or equal to the sum of other investments?
- How would adding a new type of investment with a different yield affect the optimization?
- Can Sandra diversify more effectively if there were a minimum required allocation to bonds?
Tip: Always review investment constraints to see if they align with your financial goals and risk tolerance!
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Math Problem Analysis
Mathematical Concepts
Linear Programming
Optimization
Inequalities
Formulas
Objective function: Maximize R = 0.15x + 0.10y + 0.08z
Constraint equations: x + y + z ≤ 50,000; z ≥ 12,500; y ≥ x + z
Theorems
Fundamental Theorem of Linear Programming
Suitable Grade Level
Grades 11-12 or College-level
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