Do actions speak louder than words? Evidence from microblogs

Stéphane Goutte

Journal of Behavioral and Experimental Finance, 2022, vol. 33, issue C

Abstract: This research identifies the determinants of investors’ future beliefs by analyzing more than 50 million tweets on thousands of stocks from the microblogging platform StockTwits. To do so, I divide tweets into two categories: beliefs, representing the average sentiment of all investors regarding a particular stock, and actions, representing the actual transactions disclosed by StockTwits’ users in their tweets. The results show that investors’ next-period beliefs are positively impacted both by beliefs and actions of the current day. The quality of the investment advice strengthens this effect. More communication between investors leads to greater diversity in beliefs and more uncertainty.

Keywords: Sentiment analysis; NLP; Text analysis; Microblogs; Text classification; Herding; Word-of-mouth (search for similar items in EconPapers)
JEL-codes: G14 G40 (search for similar items in EconPapers)
Date: 2022
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Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:beexfi:v:33:y:2022:i:c:s2214635021001611

DOI: 10.1016/j.jbef.2021.100619

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