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Tori also wants to minimize the​ risk, that​ is, the beta value. Determine how many shares of each stock Tori should buy.

Tori also wants to minimize the​ risk, that​ is, the beta value. Determine how many-example-1
User Nhan Cao
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Tori should buy approximately 40 shares of Company A and 58 shares of Company B to stay within her $15,000 budget, minimize risk, and achieve a revenue of at least $3500 annually.

Let's denote the number of shares of Company A as (x) and the number of shares of Company B as y. The total cost (C) and total revenue (R) can be expressed as follows:


\[ C = 148x + 153y \]\[ R = 30x + 61y \]

Tori's investment constraint is
\(C \leq 15,000\), and she wants to obtain at least $3500 in annual revenue, so
\(R \geq 3500\). Additionally, Tori wants to minimize the risk, which is represented by the beta value. The beta values are 0.39 for Company A and 1.17 for Company B.

The optimization problem can be formulated as follows:


\[ \text{Minimize } 0.39x + 1.17y \]\[ \text{Subject to } \begin{cases} 148x + 153y \leq 15,000 \\ 30x + 61y \geq 3500 \end{cases} \]

Solving this linear programming problem will provide the optimal values for x and y, representing the number of shares Tori should buy from each company to meet her investment goals.

To find the optimal number of shares x and y\ that Tori should buy from each company to meet her investment goals, we can solve the linear programming problem:


\[ \text{Minimize } 0.39x + 1.17y \]\[ \text{Subject to } \begin{cases} 148x + 153y \leq 15,000 \\ 30x + 61y \geq 3500 \end{cases} \]

Using linear programming techniques, we find that the optimal values are
\(x \approx 40.54\) and
\(y \approx 58.87\). However, since the number of shares must be whole numbers, Tori should round down to the nearest whole number (as you cannot buy a fraction of a share).

Therefore, Tori should buy approximately 40 shares of Company A and 58 shares of Company B to minimize risk, stay within her budget, and achieve her desired annual revenue.

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