By means of Event Study, Panel Data Regression and Feasible Generalized Least Squares, we discuss the influence of uncertainty of information on the Post-Earnings Announcement Drift. We find that there are not significant differences between the H-share financial statements and the A-share...

This paper examines the reaction of investors to the arrival of unexpected information in the Chinese equity market. Market surprises are identified using a strictly quantitative approach, and cumulative abnormal returns are calculated and tracked for a period of 30 days after each favorable or...

We examine whether the level of trust in a country affects investors' perception and utilization of information transmitted by firms through financial disclosure. Specifically, we investigate the effect of societal trust on investor reactions to corporate earnings announcements. We test two...

The simple happenstance of the overall stock market being up or down for the day can explain a substantial portion of the abnormal return attached to corporate news announcements. In particular, we demonstrate that firm-specific news announcements that are typically met with a positive stock...

The following paper aims to assess investor reaction to mandatory offers on the Warsaw Stock Exchange, which is important because knowledge about these reactions can be used to make better investment decisions. This paper highlights the importance of procedure in making a mandatory offer and its...

We empirically investigate how retail and institutional investor attention is related to the way stock markets process information. With a focus on 360 US stocks in the S&P 500 universe, our results show that higher retail investors' attention around news releases increases the post-announcement...

Recent advances in natural language processing have contributed to the development of market sentiment measures through text content analysis in news providers and social media. The effectiveness of these sentiment variables depends on the implemented techniques and the type of source on which...

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...

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...