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...

We examine the relationship between the tonality of news flow and the cross section of expected stock returns. We use a comprehensive definition of media coverage that includes both financial newspapers and mass media, represented by TV broadcasts. Using the total news flow with positive and...

Previous research documents two puzzling findings that cast doubt on the usefulness of accounting information to investors: the declining power of street EPS in explaining earnings announcement returns and the increasing price reactions to earnings announcements. I show this evidence is due to...

Previous research documents two puzzling results that cast doubt on the usefulness of accounting information to investors: the declining power of street EPS in explaining earnings announcement returns and increasing price reactions to earnings announcements. I show this evidence is due to...

Using 1990 through 2013 data of U.S. firms with foreign operations, we show that (1) the serial correlation of analyst forecast errors increases to the degree that firms diversify internationally, (2) post-earnings-announcement drift (PEAD) based on analyst forecast errors increases to the...

We find that investor attention proxies proposed in the literature collectively have a common component that has significant power in predicting stock market risk premium, both in-sample and out-of-sample. This common component is well extracted by using partial least squares, scaled principal...

We propose a tone-based event study to reveal the aggregate abnormal tone dynamics in media articles around earnings announcements. We test whether they convey incremental information that is useful for price discovery for non financial S&P 500 firms. The positive relationship found between the...

Using a sample of U.S. stocks over the period 1973–2015, we find that quarterly earnings announcements account for more than 18% of the total maximum daily returns in the top MAX portfolio. Maximum daily returns as triggered by earnings announcements do not entail lower future returns. Both...

Based on high-frequency firm-level data, this paper uncovers new empirical patterns on intraday momentum in China. First, there exists a strong intraday momentum effect at the firm level. Second, the intraday predictability stems mainly from the overnight component rather than the opening...

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...