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The asymmetric online talk effect

Ying Zhang (Finance, Fairfield University, Fairfield, Connecticut, USA)
Xing Lu (Finance, Indiana University South Bend, South Bend, Indiana, USA)
Wikrom Prombutr (Department of Finance, California State University Long Beach, Long Beach, California, USA)

Review of Behavioral Finance

ISSN: 1940-5979

Article publication date: 5 February 2021

Issue publication date: 4 April 2022

210

Abstract

Purpose

The authors investigate the extent to which online talk can influence contemporaneous and future stock trading, especially when market news is unpresented.

Design/methodology/approach

The authors propose an improved sentiment formula incorporating online hype, neutral sentiment and poster reputation. In addition, they conduct event study, OLS regression analyses and probit models.

Findings

First, investors tend to be more talkative in relation to firms that are (1) smaller size, (2) more growth-like, (3) with lower prices and higher short interests and (4) of higher beta. Second, the bullish tone of investors positively affects the abnormal returns of small-capitalization stocks. However, online talk has little impact on large-capitalization stocks, except that more postings boost trading liquidity. Third, online talk predicts the presence of future news regardless of firm size, with stronger predictive power found for small-capitalization stocks.

Practical implications

It is of interest to practitioners and researchers to study online talk so as to better understand the trading psychology of retail investors and the effects on the stock market. Furthermore, policymakers are interested in tracking activities on stock message boards in order to prevent security fraud and protect investors' interests.

Originality/value

The results are robust and suggest that online talk has significant impacts on stock trading exploiting an information asymmetry. This study of stock message board posting activities helps researchers to understand whether message contents contain valuable and unique content compared with information available via more traditional media channels.

Keywords

Acknowledgements

The authors thank participants at the Financial Management Association Annual Meeting in Reno in 2009, at the Sixth International Conference on Financial Risk and Corporate Finance Management (FRCFM) in Dalian, China in 2014 and at the International Conference on Social Science and Economics (ICSSE) in Chengdu, China in 2016 . The authors also thank Tianqiang Li at Technical Yahoo!; Huaping Shen, Software Engineer Manager at Ask.com and Guohua Zhang, Computer Science Engineering department at the University of Texas at Arlington for providing technical support. All errors are our own.

Citation

Zhang, Y., Lu, X. and Prombutr, W. (2022), "The asymmetric online talk effect", Review of Behavioral Finance, Vol. 14 No. 2, pp. 157-182. https://doi.org/10.1108/RBF-05-2020-0117

Publisher

:

Emerald Publishing Limited

Copyright © 2021, Emerald Publishing Limited

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