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Measuring gambling activity in options market

Bei Chen (Discipline of Finance, The University of Sydney, Sydney, Australia)
Quan Gan (Discipline of Finance, The University of Sydney, Sydney, Australia)

Review of Behavioral Finance

ISSN: 1940-5979

Article publication date: 11 March 2021

Issue publication date: 16 June 2022

361

Abstract

Purpose

This paper investigates how the gambling measure captures market bubble events, and how it predicts stock return and option return.

Design/methodology/approach

This paper proposes a gambling activity measure by jointly considering open interest and moneyness of out-of-the-money (OTM) individual equity call options.

Findings

The new measure, CallMoney, captures excessive optimism during the dot-com bubble, the oil price bubble and the pre-GFC stock market bubble. CallMoney robustly and negatively predicts both OTM and at-the-money call option returns cross-sectionally. The option return predictability of CallMoney is stronger when stock price is further from its 52-weeks high, capital gains overhang is lower, and when information uncertainty of the underlying stock is higher. CallMoney also robustly and negatively predicts cross-sectional stock returns.

Originality/value

The gambling measure has the advantages of being economically intuitive, model-free, easy to measure. The measure performs more robustly than existing lottery measures with respect to option and stock return predictability and more reliably captures the overpricing of options and stocks. The work helps understanding the gambling related anomalies in equity option returns and stock returns.

Keywords

Citation

Chen, B. and Gan, Q. (2022), "Measuring gambling activity in options market", Review of Behavioral Finance, Vol. 14 No. 3, pp. 345-378. https://doi.org/10.1108/RBF-08-2020-0206

Publisher

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Emerald Publishing Limited

Copyright © 2021, Emerald Publishing Limited

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