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Certainty Equivalent Risk Premium Gap Tool

Calculate certainty equivalent risk premium gap from explicit caller-supplied inputs.

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Description

Return a supplied certainty equivalent's risk premium.

Decision models distinguish monetary payoffs, probabilities, model values and subjective equivalents. Discounting, probability weighting and reference-dependent utility terms depend on supplied parameters and cannot by themselves establish actual preferences or an appropriate allocation.

Return a supplied certainty equivalent's risk premium.

When to use this tool

Use Certainty Equivalent Risk Premium Gap when evaluating the stated decision-model, lottery or discount contribution.

How to use the tool and how it works

  1. Enter outcomes, probabilities, certaintyEquivalent. Follow any array-alignment requirements below. Use the units and conventions below.
  2. Run the tool. Correct any format, range, or cross-field input error before interpreting the output.
  3. Read expectedValue, riskPremium. Use the output convention below.

Return a supplied certainty equivalent's risk premium. Require aligned outcomes/probabilities in [0,1] with total within 1e-12 of one; expectedValue is their dot product, riskPremium = expected-certaintyEquivalent.1

Input fieldMeaning and unitsAccepted input
outcomesOutcomesRequired. Array of finite number; maximum items 256.
probabilitiesProbabilitiesRequired. Array of finite number; maximum items 256.
certaintyEquivalentCertainty EquivalentRequired. Finite number.
Output fieldInterpretationReturned shape
expectedValueExpected ValueRequired. Finite number.
riskPremiumRisk PremiumRequired. Finite number.
json
{
  "input": {
    "outcomes": [
      0,
      100
    ],
    "probabilities": [
      0.5,
      0.5
    ],
    "certaintyEquivalent": 40
  },
  "output": {
    "expectedValue": 50,
    "riskPremium": 10
  }
}

Limitations and assumptions

  • A negative premium is allowed; no utility fit, certainty-equivalent elicitation or recommended investment is provided.
  • Inputs must satisfy both the field types and the cross-field conditions above. Invalid input causes an error; a successful false flag or documented placeholder is a different result.
  • Numeric calculations use binary floating point unless exact decimal-integer arithmetic is explicitly stated. No hidden measurement tolerance or decimal rounding is added; nonfinite or out-of-contract results are rejected. Numeric signed-zero results are exported as zero.

Alternative or Complementary methods

Fit and validate an appropriate complete decision model against relevant observations; distinguish model scores from money and assess actual financial choices separately.

References

  1. Calculation and input contract: behavioral-economics/certainty-equivalent-risk-premium-gap — tool.io

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