The tonality of news reporting has been shown to have explanatory and predictive power for equity prices. Using a novel approach and data set, we demonstrate that the news sentiment effect also holds for US government bond duration. We construct a successful trading strategy for the US 10-year...

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...

The author identifies and explains asymmetric reactions in implied volatility of S&P 500 Index options across the term structure based on news sentiment. The asymmetry of the reaction is more pronounced for fear (proxied by put options) than for greed (proxied by call options). This asymmetry is...

We introduce news sentiment as a variable that can explain and predict subsequent changes in the USD/EUR exchange rate, and therefore close a gap in the foreign exchange literature. By applying the concept of frequency filtering from the domain of electrical engineering, we show an innovative...

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...