The authors show that sentiment of Tweets related to FOMC meeting results can provide information for market returns. They use a polarity of positive or negative when tweets are made about FOMC, Bernanke, Federal Reserve, or Yellen, and create a regression to show that positive or negative sentiment can provide significant betas, even when controlling for the Fama-French value, size, and momentum factors. They then use these sentiment indicators to backtest a strategy, and show that using the sentiment of tweets related to FMOC meetings can outperform the market, especially a strategy that only modifies from the market portfolio on FOMC meeting days.
AZAR, P. D., & LO, A. W. (2016). The Wisdom of Twitter Crowds:
Predicting Stock Market Reactions to FOMC Meetings via Twitter Feeds. Journal of Portfolio Management, 42(5), 123–134.
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