The state of the art in the analyst forecasting literature is that analyst earnings forecast ability is only firm-specific (Chen, Francis, and Jiang (2005); Chen and Jiang (2006)). This view is based on Park and Stice's (2000) finding of the absence of a “spillover” effect, i.e., investors...

The proposed new SEC (2022) rules suggest that the information risk may be unusually high for companies going public by merging with SPACs (“SPAC-IPOs”). We study the merits of this “information risk” hypothesis and then examine whether the high information risk also explains...

There is reliable evidence that managers smooth their reported earnings. If some firms manage earnings downwards (upwards) when they experience large positive (negative) earnings shocks and if investors have cognitive limits or are inattentive, then it is plausible that the post-earnings...

We examine the association between board independence and the characteristics of non-GAAP earnings. Our results suggest that companies with less independent boards are more likely to opportunistically exclude recurring items from non-GAAP earnings. Specifically, we find that exclusions from...

We re-examine the widely held belief that analysts' earnings per share (EPS) forecasts are superior to random walk (RW) time-series forecasts. We investigate whether analysts' annual EPS forecasts are superior, and if so, under what conditions. Simple RW EPS forecasts are more accurate than...

We find that lower ex-ante earnings volatility leads to higher Post-Earnings Announcement Drift (PEAD). PEAD is a function of both the magnitude of an earnings surprise and its persistence. While prior research has largely investigated market reactions to the magnitude of the earnings surprise,...

Crowdsourcing — when a task normally performed by employees is outsourced to a large network of people via an open call — is making inroads into the investment research industry. We shed light on this new phenomenon by examining the value of crowdsourced earnings forecasts. Our sample...

This paper examines the effect of income smoothing on information uncertainty, stock returns, and cost of equity. I show that income smoothing through both total accruals and discretionary accruals tends to reduce firms' information uncertainty, as measured by stock return volatility, analyst...

Crowdsourcing — when a task normally performed by employees is outsourced to a large network of people via an open call — is making inroads into the investment research industry. We shed light on this new phenomenon by examining the value of crowdsourced earnings forecasts. Our sample...

Prior studies employ a two period empirical model and interpret the negative association between accruals in period one and returns in period two as evidence that investors misprice the information contained in accruals. In contrast to prior studies, I employ a three period log-linear model...