This study proposes and tests an alternative to the extant earnings management explanation for zero and small positive earnings surprises (i.e., analyst forecast errors). We argue that analysts' ability to strategically induce slight pessimism in earnings forecasts varies with the precision of...

Large earnings surprises and negative earnings surprises represent more egregious errors in analysts' earnings forecasts. We find evidence consistent with our expectation that egregious forecast errors motivate analysts to work harder to develop or acquire relatively more private information in...

The relationship between venture capital (VC) firms and underwriters is a central aspect of the startup ecosystem, but it is hard to identify to what extent underwriters influence VC firms' investment returns. Exploiting quasi-exogenous variation in underwriter closures and mergers, we find that...

This paper investigates the problem of time stamp errors in the IBES database, the most important data provider of analyst recommendations and forecasts currently. We compare IBES to alternative data sources and show that IBES announcement dates of both recommendations and forecasts are...

General partners (GPs) in private equity (PE) report the performance of an existing fund while raising capital for a follow-on fund. Interim performance has large effects on fundraising outcomes; the impact is greatest when backed by exits and for low reputation GPs. Faced with these incentives,...

We examine the spillover effects of the Global Analyst Research Settlement (or Global Settlement) on analysts' earnings forecasts in 40 developed and emerging markets. Prior to the Global Settlement, analysts generally made overly optimistic forecasts, this bias tending to be higher in countries...

This paper analyzes the distribution of stock ratings at investment banks and brokerage firms and examines whether these distributions can be used to predict the profitability of analysts' recommendations. Consistent with prior work, we find that the percentage of buy recommendations increased...

This paper investigates the dynamics of hedge fund returns and their behavior of persistence in a unified framework through the Markov Switching ARFIMA model of Härdle and Tsay (2009). Major results based on the CSFB/Tremont hedge fund indexes monthly data during the period 1994-2011, highlight...

We examine the role of concurrent information in the striking increase in investor response to earnings announcements from 2001 to 2016, as measured by return variability and volume following Beaver (1968). We find management guidance, analyst forecasts, and disaggregated financial statement...

This study compares the information content of funds from operation (FFO) and net income (NI) in the real estate investment trust (REIT) industry. We find that models using FFO explain more of the variance in cumulative abnormal returns around earnings announcement dates than models using NI do....