Math Problem Statement
Formula for EMV, ,EPPI EVPI
Solution
Here are the formulas and explanations for Expected Monetary Value (EMV), Expected Profit with Perfect Information (EPPI), and Expected Value of Perfect Information (EVPI):
1. Expected Monetary Value (EMV):
Where:
- = Probability of outcome .
- = Value (monetary payoff) associated with outcome .
- = Number of possible outcomes.
Explanation: The EMV is the weighted average of possible outcomes based on their probabilities. It represents the best estimate of monetary returns under uncertainty.
2. Expected Profit with Perfect Information (EPPI):
Where:
- = Maximum payoff (profit) for each outcome , assuming perfect knowledge of the state of nature.
- = Probability of outcome .
Explanation: The EPPI calculates the expected profit if you had perfect foresight about which outcome will occur.
3. Expected Value of Perfect Information (EVPI):
Explanation: EVPI is the difference between the expected value with perfect information and the expected monetary value. It quantifies the value of eliminating uncertainty by acquiring perfect information.
Example Calculation
Given Data:
- Outcomes:
- Probabilities:
Step 1: Calculate EMV
Step 2: Calculate EPPI
Assume perfect knowledge:
Step 3: Calculate EVPI
Key Insights:
- EMV gives an average outcome under uncertainty.
- EPPI assumes ideal conditions where uncertainty is eliminated.
- EVPI measures the monetary value of reducing uncertainty.
Do you want to explore detailed examples or solve a specific problem?
Here are some related questions:
- How can EMV guide decision-making under uncertainty?
- What industries use EVPI for strategic planning?
- How does risk-aversion impact the interpretation of EMV?
- Can EVPI be greater than EPPI? Why or why not?
- How does sensitivity analysis affect these calculations?
Tip: Always compare EVPI to the cost of obtaining perfect information. If the cost is higher, it's not worth pursuing!
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Math Problem Analysis
Mathematical Concepts
Probability
Expected Value
Decision Analysis
Formulas
EMV = Σ(Pi * Vi)
EPPI = Σ(Pi * max(Vi))
EVPI = EPPI - EMV
Theorems
Law of Total Expectation
Suitable Grade Level
Undergraduate level or advanced high school (Grades 11-12)
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