Math Problem Statement

Consider the following information:

State of Economy Probability of State of Economy Rate of Return if State Occurs Recession .39 −.13 Boom .61 .25 Calculate the expected return.

Note: Do not round intermediate calculations and enter your answer as a percent rounded to 2 decimal places, e.g., 32.16.

Solution

To calculate the expected return, use the formula:

Expected Return=(Probability of State×Rate of Return)\text{Expected Return} = \sum (\text{Probability of State} \times \text{Rate of Return})

Given Data:

  1. Recession: Probability = 0.390.39, Rate of Return = 0.13-0.13
  2. Boom: Probability = 0.610.61, Rate of Return = 0.250.25

Calculation:

Expected Return=(0.39×0.13)+(0.61×0.25)\text{Expected Return} = (0.39 \times -0.13) + (0.61 \times 0.25)

  1. Calculate for the recession: 0.39×0.13=0.05070.39 \times -0.13 = -0.0507

  2. Calculate for the boom: 0.61×0.25=0.15250.61 \times 0.25 = 0.1525

  3. Add the results: Expected Return=0.0507+0.1525=0.1018\text{Expected Return} = -0.0507 + 0.1525 = 0.1018

Convert to Percentage:

Expected Return as Percent=0.1018×100=10.18%\text{Expected Return as Percent} = 0.1018 \times 100 = 10.18\%

Final Answer:

10.18%\boxed{10.18\%}

Would you like to explore more examples or have a detailed explanation?
Here are 5 related questions:

  1. How does the expected return formula differ with three or more economic states?
  2. What is the significance of probability in expected return calculations?
  3. Can the expected return be negative, and under what circumstances?
  4. How do you calculate variance and standard deviation for these probabilities?
  5. How is the expected return used in investment decision-making?

Tip: Always ensure the probabilities sum to 1 when using this formula.

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Math Problem Analysis

Mathematical Concepts

Probability
Weighted Average
Expected Value

Formulas

Expected Return = Σ (Probability of State × Rate of Return)

Theorems

Law of Total Probability (Applied to Expected Value)

Suitable Grade Level

Grades 10-12