Quantile Based Lottery Measure and the Cross-Section of Stock Returns

91 Pages Posted: 1 Mar 2021 Last revised: 31 Jan 2023

See all articles by Jia Bi

Jia Bi

School of Finance, Central University of Finance and Economics; TIAS School for Business and Society, Tilburg University

Yifeng Zhu

School of Finance, Central University of Finance and Economics

Multiple version iconThere are 2 versions of this paper

Date Written: December 14, 2022

Abstract

We construct a new quantile based lottery measure — QBL to evaluate the lottery preference feature of stocks. The new measure is different from the commonly used lottery proxies: maximum daily return (MAX) and skewness (SKEW). The relationship between the QBL and expected returns is negative for both the U.S. and the Chinese stock markets. However, the QBL effect can be explained by MAX in U.S. while it cannot be explained by any controls in China. During the high investor sentiment periods, the negative predictability of QBL is significant and cannot be explained by other controls for the both stock markets. Additionally, we find that the lottery preference is sensitive to the institutional ownership ratio in the U.S., while it is not the case for the Chinese stock market.

Keywords: Quantile based lottery measure, Investor sentiment, Cross-section analysis

JEL Classification: G11, G12

Suggested Citation

Bi, Jia and Zhu, Yifeng, Quantile Based Lottery Measure and the Cross-Section of Stock Returns (December 14, 2022). Available at SSRN: https://ssrn.com/abstract=3794965 or http://dx.doi.org/10.2139/ssrn.3794965

Jia Bi (Contact Author)

School of Finance, Central University of Finance and Economics ( email )

Beijing
China

TIAS School for Business and Society, Tilburg University ( email )

Warandelaan 2
TIAS Building
Tilburg, Noord Brabant 5037 AB
Netherlands

Yifeng Zhu

School of Finance, Central University of Finance and Economics ( email )

39 South College Road
Haidian District
Beijing, Beijing 100081
China

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