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...

News and sentiment in news often influence financial markets and asset prices. While this is well-recognized by investors, only few studies have used sentiment in news to predict future developments in financial markets to formulate alpha generating strategies, let alone create a best practice...

We show that sentiment from newspaper articles can explain and predict movements in the term structure of US government bonds. This effect is stronger at the short end of the curve, coinciding with greater volatility and investors' need to continually reassess the Fed's reaction function. Facing...

We examine the statistical power of fundamental and behavioural factors with regards to stock returns of the Dow Jones Industrials Index. With a novel sentiment dataset from over 3.6 million Reuters news articles, we find significant correlations between Reuters sentiment and stock returns. We...