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Crash and jackpot probability anomalies in the Chinese stock market

Yi Fang (Center for Quantitative Economics of Jilin University, Jilin University, Changchun, China)
Hui Niu (School of Economics, Nanjing University of Finance and Economics, Nanjing, China)

China Finance Review International

ISSN: 2044-1398

Article publication date: 22 July 2024

56

Abstract

Purpose

Investigation of the anomalies associated with crashes and jackpots in the Chinese stock market.

Design/methodology/approach

We propose a logit model to predict the events of crashes and jackpots in the Chinese stock market. The model introduces a new variable of the price-to-sales ratio and takes into account the market states, Up and Down.

Findings

The anomalies associated with crashes and jackpots are not related to variations in economic conditions, but are associated with limits to arbitrage. High-liquidity stocks have strong mispricing effects. The institutions’ speculative trading will push liquid stock prices further away from their fundamentals but avoid buying illiquid stocks with a higher probability of price crashes and jackpots.

Originality/value

We propose a logit model to predict the extreme events of both crash and jackpot in the Chinese stock market. Our model effectively disentangles from CRASHP and JACKP. Compared with the traditional model, it substantially enhances in-sample and out-sample predictions. Based on the predictions of the extreme events, we find two strong and robust pricing effects associated with ex ante CRASHP and JACKP in the Chinese stock market.

Keywords

Acknowledgements

Thank for the support from the project of the Humanities and Social Science Foundation of Ministry of Education of China (Project No. 22JJD790021).

Each author is as first author.

Citation

Fang, Y. and Niu, H. (2024), "Crash and jackpot probability anomalies in the Chinese stock market", China Finance Review International, Vol. ahead-of-print No. ahead-of-print. https://doi.org/10.1108/CFRI-12-2023-0348

Publisher

:

Emerald Publishing Limited

Copyright © 2024, Emerald Publishing Limited

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