This study examines whether firms covered by distracted analysts manage their earnings
more intensively. We construct a firm-level measure of analyst distraction based on …

The transition towards environmental sustainability in China's energy sector underscores the
crucial role of digital financial inclusion and analyst attention. This study employs an …

We examine the relationship between corporate blockchain adoption and analyst forecast
accuracy. We manually collect the blockchain usage data of public firms from the Factiva …

The phenomenon of stock price crash events (SPCs) has always attracted market attention,
but existing research mainly focuses on its causes or determinants and rarely examines the …

We introduce the concept of" visual-readability" in annual reports and innovate by using
machine-learning algorithms to construct visual-readability measures. We create a novel …

Using a comprehensive measure, the Macroeconomic News Index (MNI), we examine how
analysts use macroeconomic news in their earnings forecasts. We find that analysts …

Using a sample of 30,270 forecasts by 2,280 analysts under a stacked difference‐in‐
differences framework involving 22 major climatic disasters in the United States, we examine …

In this paper I propose a new theoretical framework that explains both over-and under-
reaction of prices to new information. My model incorporates a behavioral investor who …

This study shows that during the FIFA World Cups, the Olympic Games, and Christmas and
New Year, the average daily volatility persistence is near zero across 17 equity indices in 14 …

We study the impact of mobile internet technology on analyst forecast performance. Mobile
internet facilitates uninterrupted access to various types of information and provides …