Reuters Sentiment and Stock Returns

被引:61
|
作者
Uhl, Matthias W. [1 ]
机构
[1] UBS AG, CH-8001 Zurich, Switzerland
关键词
Reuters sentiment; Vector autoregression model; Stock returns; Out-of-sample forecasts; INVESTOR SENTIMENT; MARKET; NOISE; NEWS;
D O I
10.1080/15427560.2014.967852
中图分类号
F8 [财政、金融];
学科分类号
0202 ;
摘要
Sentiment from more than 3.6 million Reuters news articles is tested in a vector autoregression model framework on its ability to forecast returns of the Dow Jones Industrial Average 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.
引用
收藏
页码:287 / 298
页数:12
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