Microeconomic Expected Utility & Risk Premium Calculator
Expected Utility Theory models decision-making under uncertainty, explaining why risk-averse individuals pay insurance premiums to avoid volatile financial gambles.
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📐 Formula
💡 Practical Example
50% chance of $10,000 vs 50% chance of $40,000 under U(w) = √w: Expected Wealth EW = + = $25,000. Expected Utility EU = + = 150 utils. Certainty Equivalent CE = 150^2 = $22,500.00.
📖 About Microeconomic Expected Utility & Risk Premium Calculator
Expected Utility Theory models decision-making under uncertainty, explaining why risk-averse individuals pay insurance premiums to avoid volatile financial gambles.
To use the Microeconomic Expected Utility & Risk Premium Calculator, enter your Risk Preference Utility Function U(w), State 1 Wealth Outcome (w1), State 1 Probability (p1) and other values. The calculator instantly computes Expected Utility EU, Expected Wealth EW and more. Results update in real time as you change any input — no submit button needed.
How to Use This Calculator
Enter your Risk Preference Utility Function U(w) — choose from Square Root U(w) = √w (Risk Averse -- Diminishing Marginal Utility), Natural Log U(w) = ln(w) (Risk Averse), Linear U(w) = w (Risk Neutral), State 1 Wealth Outcome (w1) (e.g. 10000 in ), State 1 Probability (p1) (e.g. 50 in %), and State 2 Wealth Outcome (w2) (e.g. 40000 in ). Results update instantly as you type — adjust any value to compare scenarios.
The Formula
Expected Utility EU = p1 × U(w1) + p2 × U(w2)
Expected Wealth EW = p1 × w1 + p2 × w2
Certainty Equivalent CE = U⁻¹(EU)
Risk Premium = Expected Wealth (EW) - Certainty Equivalent (CE)
Worked Example
50% chance of 10,000 vs 50% chance of 40,000 under U(w) = √w:
Expected Wealth EW = + = 25,
000.
Expected Utility EU = + = 150 utils.
Certainty Equivalent CE = 150^2 = 22,500.
00.
Understanding Your Result
Evaluate your result in the context of your specific use case and relevant industry standards or reference values. A single calculated result is a starting point — test two to three scenarios to understand how sensitive the outcome is to your key input assumptions. For high-stakes decisions, verify your result against a secondary source or subject-matter expert before acting.
💡 Methodological Standards & Calculation Accuracy
- All calculations are performed client-side in your browser using verified, standards-compliant mathematical algorithms.
- Results are provided for educational and informational analysis; verify critical applications with certified domain specialists.
- Ensure input values are entered in consistent units matching the selector options to guarantee accurate outputs.
- Periodic recalibration is recommended whenever baseline assumptions, operating parameters, or external conditions change.
Results are for informational and educational purposes only. Always verify critical decisions with a qualified professional.