Market reactions to the 2019 novel coronavirus disease (COVID-19) provide new insights into how real shocks and financial policies drive firm value. Initially, internationally oriented firms, especially those more exposed to trade with China, underperformed. As the virus spread to Europe and the...

The possibility to investigate the impact of news on stock prices has observed a strong evolution thanks to the recent use of natural language processing (NLP) in finance and economics. In this paper, we investigate COVID-19 news, elaborated with the "Natural Language Toolkit" that uses machine...

The possibility to investigate the impact of news on stock prices has observed a strong evolution thanks to the recent use of natural language processing (NLP) in finance and economics. In this paper, we investigate COVID-19 news, elaborated with the ”Natural Language Toolkit” that uses...

The analysis of news in the financial context has gained a prominent interest in the last years. This is because of the possible predictive power of such content especially in terms of associated sentiment/mood. In this paper, we focus on a specific aspect of financial news analysis: how the...

We examine how weather conditions near a firm's major institutional investors affect stock market reactions to firms' earnings announcements. We find that unpleasant weather experienced by institutional investors leads to more delayed market responses to earnings news. Moreover, unpleasant...

This paper shows investors' lottery preference can attenuate price underreaction to extreme good earnings news. Such news reaffirms investors' preference for stocks with strong ex ante lottery-like features, thereby accelerating price adjustments. We find that PEAD attenuates for stocks with...

Motivated by research in psychology and experimental economics, we assume that investors update their beliefs about an asset's value upon observing the price, but only when the price clearly reveals that others obtained private information that differs from their own private information....

Relying on a comprehensive data set of news releases, we construct monthly firm-level news sentiment scores during the 2000–2016 period and document a news momentum phenomenon of stocks with more positive news in the past generating more positive news in the future. We propose three hypotheses...

We document that the stock market's reaction to unscheduled firm-specific news such as credit rating downgrades and 8-K filings is significantly weaker during December as compared to other months. In contrast, the market's reaction to scheduled earnings announcements is not significantly...

Using a unique database this study establishes a relationship between firm-specific investor sentiment and stock price movements around earnings announcements. We find that firm-specific investor sentiment is a key determinant of price adjustment in the context of an earnings surprise....