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Pricing weights and real-world probabilities

Model pricing weights reconcile current prices and financing; actual probabilities describe a separate forecast or data assumption.

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Identify the evidence behind the weight

The two-state pricing weight is derived from S0, terminal prices and the period factor. An actual probability may come from a statistical estimate or stated view. A 50% figure in one role does not make it interchangeable with another 50% figure.

Keep outputs named precisely

Weight interpretation
FeaturePricing weightActual probability
Input basisPrice/financing consistencyForecast or observational assumption
PurposeNo-arbitrage model valuationActual expected outcomes
Risk-free discountUsed within the pricing modelNot automatically justified
Tool statusComputed from the recordNot accepted as a substitute

Avoid claiming the model predicts the branch

A binomial tool can price within its given state set without estimating how often a real market reaches either state. Validation of that state set and forecasting skill are separate tasks.

Reconcile disagreements by question

Different expected-payoff amounts can be correct under different weights. Before calling a number wrong, inspect the measure, date and valuation assumptions. A label that only says probability is insufficient.

Further references