PT  - JOURNAL ARTICLE
AU  - Pablo D. Azar
AU  - Andrew W. Lo
ED  - Goyal, Gauri
TI  - Practical Applications of The Wisdom of Twitter Crowds: <em>Predicting Stock Market Reactions to FOMC Meetings via Twitter Feeds</em>
AID  - 10.3905/pa.2016.4.2.171
DP  - 2016 Oct 31
TA  - Practical Applications
PG  - 1--4
VI  - 4
IP  - 2
4099  - https://pm-research.com/content/4/2/1.6.short
4100  - https://pm-research.com/content/4/2/1.6.full
AB  - The Wisdom of Twitter Crowds: Predicting Stock Market Reactions to FOMC Meetings via Twitter Feeds Pablo D Azar Andrew W Lo Does social media chatter signal information about the markets? More specifically, could Twitter patterns around U.S. Federal Reserve meetings help predict stock market movements? To answer these questions, Massachusetts Institute of Technology Professor Andrew W. Lo and PhD Candidate Pablo D. Azar gathered tweets about Federal Open Market Committee (FOMC) meetings and measured investor sentiment around these events.In The Wisdom of Twitter Crowds: Predicting Stock Market Reactions to FOMC Meetings via Twitter Feeds , they discuss the Twitter-based trading strategy they created based on their findings, which outperformed both the buy-and-hold and the non-Twitter-based dynamic strategies. They show that Twitter chatter could offer significant information and that institutional investors can use this information in trading strategies that seek to anticipate market reactions to the FOMC.