Shy of the Character Limit: “Twitter Mood Predicts the Stock Market” Revisited (EJW 2017)

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Contents

Article

Authors Title Journal Year Edition Pages JEL Codes Keywords
Michael Lachanski, Steven Pav Shy of the Character Limit: “Twitter Mood Predicts the Stock Market” Revisited EJW 2017 3 302–45 G1, G12, G14, G17 Stock market prediction, Twitter, Mood analysis, Behavioral finance, Sentiment analysis, Text analytics, Efficient market hypothesis

Article information

Program code Data Readme Method(s) & estimation Data type Data used Origin of data used Software used (Version)
- - - - - - - -

This article is a replication of

Authors Title Journal Year Edition Pages JEL Codes Keywords Replication type Replication result [refer to replication type 1 and 2] Raw data Call into question Authors statement
Johan Bollen, Huina Mao, Xiaojun Zeng Twitter mood predicts the stock market J Computational Science 2011 1 1-8 - Social networks, Sentiment tracking, Stock market, Collective mood - - - - -

References

DOI: - IDEAS: a/ejw/journl/v14y2017i3p302-345.html EconPapers: RePEc:ejw:journl:v:14:y:2017:i:3:p:302-345


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