European Financial Management · 2019 · 73 citations · 44 references
BusinessBusiness AnalyticsFinanceFinancial EconometricsSocial Media AnalyticsText AnalyticsAlgorithmic TradingInformation SpreadInvestor SentimentMarket SentimentSentiment AnalysisSocial MediaFinancial News SentimentReturns ForecastingSentiment TransmissionSentiment-based Trading SignalsSocial BotsSocial Media SentimentStock Market ReturnsTrading Volume Reaction
Abstract This study examines the link between information spread by social media bots and stock trading. Based on a large sample of tweets mentioning 55 companies in the FTSE 100 composites, we find significant relations between bot tweets and stock returns, volatility, and trading volume at both daily and intraday levels. These results are also confirmed by an event study of stock response following abnormal increases in the volume of tweets. The findings are robust to various specifications, including controlling for traditional news channel, alternative measures of volatility, information flows in pretrading hours, and different measures of sentiment.
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Noise Trader Risk in Financial Markets
J. Bradford De Long, Andrei Shleifer, Lawrence H. Summers et al. · Journal of Political Economy · 1990 · 6.4K citations · Full text
Zhi Da, Joseph Engelberg, Pengjie Gao · The Journal of Finance · 2011 · 3.1K citations · Full text