Financial news has been identified as an important alternative information source for modeling market dynamics in recent years. While most of the attention goes to stock markets, the foreign exchange (Forex) market, in contrast, is much less studied. Most of the existing text mining research for...

We investigate the impact of financial news on equity returns and introduce a non-parametric model to generate a sentiment signal, which is then used as a predictor for short-term, single-stock equity return forecasts.We build on Google's BERT model (for Bidirectional Encoder Representations for...

Using a large dataset of news releases, we study instances of investors' mistaken reaction, or misreaction, to news. We define misreaction as stock prices moving in the direction opposite to the news when it is released. We find that news tone predicts returns in the cross-section only upon the...

Focusing on the foreign exchange reaction to macroeconomic announcements, we show that fast trading is positively and significantly correlated with the entropy of the distribution of quoted prices in reaction to news: a larger share of fast trading increases the degree of diversity of quotes in...

This study is the first to document the impact of news sentiment on different classes of assets' returns (stocks, bonds, oil, natural gas, gold, commodities, and foreign exchange rate) during the COVID-19 pandemic. By using time-varying causality test, we find that the causality running from...

We investigate the relation between the EUR/HUF exchange rate on the one hand and news announcements and order flow on the other hand using intraday data. We extend the existing literature on foreign exchange market microstructure by considering a small open transition economy. We find that the...

We introduce a novel method for training computer algorithms to measure news sentiment. Our approach leverages human-coded sentiment scores from over 200,000 newspaper articles to teach the computer to select words, word combinations, and their linear weights. In an out-of-sample test, examining...

This paper examines the trading behavior of individual investors using a proprietary intraday dataset of a large pool of retail investor aggregate (minute by minute) long and short positions in EUR/USD for the period July 2014 to April 2016. Standard event study analysis shows no significant...

Investor sentiment affects stock market liquidity by affecting noise trading and irrational market makers. Previous studies have focused on this effect with the time-series variation in sentiment and liquidity. This paper utilizes firm-specific news sentiment (FSNS) to examine its effect on...

News sentiment has been empirically observed to have impact on financial market. However, finding a clear predictor of market returns using news sentiment remains a challenging task. This study investigates the relationship between news sentiment and cumulative market returns and volatility. We...