Online investor disagreement, self-attribution bias, and future stock returns

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Authors: Xuejun Jin, Zhenzi Tian
Cited by: 0
References: 40

Abstract

Abstract We propose a new mechanism based on self-attribution bias to understand how investor disagreement in online forums affects stock returns. As stock prices rise (fall), this bias amplifies the sentiment of initially optimistic (pessimistic) investors more than that of initially pessimistic (optimistic) investors, causing a shift in the stock’s overall sentiment toward optimism (pessimism). For stocks with higher levels of online disagreement, the sentiment shift becomes more pronounced because of a broader distribution of both optimistic and pessimistic investors. Given the driving influence of online investor sentiment shifts on stock mispricing, this can lead to corresponding return effects. Our evidence supports this mechanism.

Fields of Study & Subjects

Financial Markets and Investment Strategies Stock Market Forecasting Methods FinTech Crowdfunding Digital Finance

Publication details

Journal / source
Financial Innovation
Volume
12
Issue
1
Publication date
4 February 2026
Language
EN