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Sure Option Premium Tool

Compare supplied sure and expected alternative values under an explicit normalization base.

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Description

Return a sure-option premium and reference-scaled value.

Behavioral-economics tasks compare supplied payoffs, reference points, budgets and observed choices. A gap, dominance flag or response fraction illustrates a declared convention without identifying a psychological bias, predicting real choices or selecting a suitable financial action.

Return a sure-option premium and reference-scaled value.

When to use this tool

Use Sure Option Premium when checking the stated experimental payoff, budget, reference or choice convention.

How to use the tool and how it works

  1. Enter sureValue, expectedAlternativeValue, referenceValue. 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 premium, relativePremium, relativeDefined. Inspect relativeDefined before interpreting the associated values.

Return a sure-option premium and reference-scaled value. premium = sureValue-expectedAlternativeValue, relativePremium divides by nonzero referenceValue or is zero with relativeDefined false.1

Input fieldMeaning and unitsAccepted input
sureValueSure ValueRequired. Finite number.
expectedAlternativeValueExpected Alternative ValueRequired. Finite number.
referenceValueReference ValueRequired. Finite number.
Output fieldInterpretationReturned shape
premiumPremiumRequired. Finite number.
relativePremiumSigned premium/referenceValue, zero placeholder if relativeDefined=false.Required. Finite number.
relativeDefinedRelative DefinedRequired. Boolean.
json
{
  "input": {
    "sureValue": 55,
    "expectedAlternativeValue": 50,
    "referenceValue": 100
  },
  "output": {
    "premium": 5,
    "relativePremium": 0.05,
    "relativeDefined": true
  }
}

Limitations and assumptions

  • The expected alternative is supplied, not computed; no risk preference, choice prediction or appropriate financial decision is inferred.
  • 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

Use a well-defined study design and complete data to estimate behavior; assess real financial rights, consequences and uncertainty independently.

References

  1. Calculation and input contract: behavioral-economics/sure-option-premium — tool.io

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