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...

This paper investigates the validity and usefulness of “hybrid” valuation models. We recast the model in Ohlson and Johannesson (2016) as a hybrid of the Dividend Discount Model and an earnings-based price multiple model, and develop a new hybrid model that generalizes the Residual Income...

Changing economic conditions over the past two decades have created incentives for sell-side analysts to both provide their institutional clients tiered services and to streamline their written research process. One manifestation of these changes is an increased likelihood of analysts' issuing...

We employ a novel machine-learning technique (“clusterwise linear regression”) to identify five distinct forecasting styles employed by equity research analysts. We first document significant variation in how each of the forecasting styles contributes to the consensus analyst forecast...

We examine how brokerage firm IPOs influence the research quality of sell-side analysts employed by the brokerage. Our main results focus on earnings forecast bias and absolute forecast errors as proxies for research quality. Using a staggered difference-in-differences analysis, we document...

In this study, we examine the effect of accrual-based earnings management on the association between managers' earnings forecast errors and accruals, which we label “managers' accrual-related forecast bias.” We build on extensive research which finds that managers engage in accrual-based...