Reuters Sentiment and Stock Returns
University of Zurich - Department of Banking and Finance
December 2, 2014
Journal of Behavioral Finance, Vol 15 (4), pp. 287-298, 2014
Sentiment from over 3.6 million Reuters news articles is tested in a vector autoregression model framework on its ability to forecast returns of the Dow Jones Industrials stock index. We show that Reuters sentiment can explain and predict changes in stock returns better than macroeconomic factors. We further find that negative Reuters sentiment has more predictive power than positive Reuters sentiment. Trading strategies with Reuters sentiment achieve significant outperformance with high success rates as well as high Sharpe ratios.
Keywords: Reuters sentiment, stock returns, out-of-sample forecasts, vector error correction model
JEL Classification: G11, G14, G17
Date posted: September 10, 2011 ; Last revised: March 5, 2016