Finding Event Types with Pure Effects on Stock Returns
April 24, 2017 - Sentiment Indicators
Do certain types of news about specific stocks reliably predict risk-adjusted returns of those stocks? In their March 2017 paper entitled “Using Natural Language Processing Techniques for Stock Return Predictions”, Ming Li Chew, Sahil Puri, Arsh Sood and Adam Wearne investigate relationships between financial news headlines and stock returns stripped of non-news risks. They use natural language processing… Keep Reading