This paper studies the effect of competition on analysts' forecast informativeness. I show that the impact of competition on forecast informativeness is ambiguous in general, and identify the necessary and sufficient conditions under which more intense competition can make forecasts less...

We investigate regulations intended to stop managers from privately disclosing corporate information to analysts in a setting with enhanced potential to isolate regulatory effects: the European Union (EU) Market Abuse Directive (MAD), a common regulation implemented by member states with varying...

Over the past 12 years, financial analysts across the world have been optimistically wrong with their 12-month earnings forecasts by 25.3%. This study may be the first of its kind to assess analyst earnings forecast accuracy at all listed companies across the globe, covering 70 countries. A...

We survey the textual sentiment literature, comparing and contrasting the various information sources, content analysis methods, and empirical models that have been used to date. We summarize the important and influential findings about how textual sentiment impacts on individual, firm-level and...

We document that analysts cater to short-term investors by issuing optimistic target prices. Catering dominates among analysts at brokers without an investment banking arm as they face lower reputational cost. The market does not see through the analyst catering activity and their forecasts lead...

The accounting literature has used the midpoint of range forecasts in various research settings, assuming that the midpoint is the best proxy for managers' earnings expectations revealed in range forecasts. We argue that given managers' asymmetric loss functions regarding earnings surprises,...

Regulators are not always able to anticipate how mandates will translate to financial reporting practice, particularly when managers are able to exercise reporting discretion. When XBRL, the eXtensible Business Reporting Language, was mandated by the SEC, financial analysts were among the...

Through the difference-in-differences (DID) methodology, we find that the connection of China’s high-speed railway (HSR) as an exogenous shock could improve analysts’ forecast performance, leading to more accurate forecasts, decrease the dispersion between analysts, stimulate more forecast...

This study focuses on the impact of model estimation methods on earnings forecast accuracy. Compared with an ordinary least squares (OLS) regression combined with winsorization, robust regression MM-estimation improves the earnings forecast accuracy of all the models examined, especially for...

I study security analysts' early forecasts. Forecasts with over one-year horizons constitute nearly one-half of all analysts' forecasts. I find that the demand for early forecasts is driven by long-term institutional investors and that analyst skills and resources are more important for...