News Diffusion in Social Networks and Stock Market Reactions

Qiguang Wang*, David Hirshleifer, Lin Peng

*Corresponding author for this work

Research output: Contribution to journalJournal articlepeer-review

Abstract

We study how the social transmission of public news influences investors’ beliefs and the securities markets. Using data on social networks, we find that earnings announcements from firms in higher-centrality counties generate a stronger immediate price, volatility, and trading volume reactions. Post-announcement, such firms experience weaker price drift and faster volatility decay but higher and more persistent volume. These findings suggest greater social connectedness facilitates the timely incorporation of news into prices, as well as opinion divergence and excessive trading. We propose the social churning hypothesis, which is confirmed using granular data from StockTwits messages and household trading records.
Original languageEnglish
Pages (from-to)883–937
Number of pages55
JournalReview of Financial Studies
Volume38
Issue number3
Early online date24 Jun 2024
DOIs
Publication statusPublished - Mar 2025

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