An analysis of about 300000 earnings forecasts, created by 18000 individual forecasters for earnings of over 300 S&P listed firms, shows that these forecasts are predictable to a large extent using a statistical model that includes publicly available information. When we focus on the...

This paper examines the relation between analyst coverage and whether firms meet or beat analyst earnings forecasts. We distinguish between whether a firm's reported quarterly earnings meet (i.e., equal or exceed by one cent) or beat (i.e., exceed by more than one cent) its consensus analyst...

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 study presents evidence suggesting that investors do not fully unravel predictable pessimism in sell-side analysts' earnings forecasts. We show that measures of prior consensus and individual analyst forecast pessimism are predictive of both the sign of firms' earnings surprises and the...

We examine the informativeness of analyst forecast revisions that are directionally inconsistent with prior stock price movements (sign-inconsistent revisions). Sign-inconsistent revisions represent approximately one-half of the forecast revisions from 1995 through 2010. Our tests indicate that...

We assess investment value of sell-side analyst recommendations from the standpoint of portfolio risk. We match I/B/E/S consensus recommendations issued for U.S.-listed equities during January 2015 with realized volatility of daily security returns up to one year following recommendation issue....

Measuring the information environment of firms using analyst (price) forecast bias and forecast dispersion before listing, we empirically examine the interactive influence of the information environment and market-wide sentiment on the initial returns of initial public offerings (IPOs). We find...

We constructed forecasts of earnings forecasts using data on 406 firms and forecasts made by 5419 individuals with on average 25 forecasts per individual. We verified previously found predictors, which are the average of the most recent available forecast for each forecaster and the difference...

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...