Estimating Probability Weighting Functions through Option Pricing Bounds

Tzu-Ying Chen, Yo-Lan Lin and Larry Y Tzeng

The Review of Asset Pricing Studies, 2024, vol. 14, issue 3, 513-543

Abstract: This paper proposes a novel approach to estimating the probability weighting function (PWF) of investors in the option market. We match observed option prices to the option pricing bounds under stochastic dominance rules. Using 1-month S&P 500 index option data, we find that investors could subjectively employ an inverse S-shaped probability weighting function, which increases the weights on extreme returns and asymmetrically assigns greater weights to extremely low returns than to extremely high returns. Our findings suggest that the inverse S-shaped nature of the PWFs is robust across various estimation specifications, such as adopting an alternative methodology to construct the return distribution, and employing option data with different times to maturity. (JEL G12)

Date: 2024
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