We demonstrate the role of three empirical properties of cross-sectional distributions of analysts' forecast errors in generating evidence pertinent to three important and heretofore separately analyzed phenomena studied in the analyst earnings forecast literature: purported bias (intentional or...

Prominent properties of distributions of differences in earnings reported by forecast data providers (FDPs), i.e., I/B/E/S, Zacks, and First Call, and Compustat drive statistical inferences drawn in extant research concerning the relative information content and value relevance of alternative...

We investigate whether the direction and magnitude of earnings management by a firm is affected by analysts' current perception of its equity investment potential (i.e., its perceived ability to generate positive abnormal returns). We argue that firms whose investment potential is perceived to...

The extensive literature that investigates whether analysts' earnings forecasts are biased and/or inefficient has produced a history of conflicting evidence and no definitive answers to either question. This paper shows how two relatively small but statistically influential asymmetries in the...

In this paper we present evidence that a firm's stock price sensitivity to earnings news, as measured by outstanding stock recommendation, affects its incentives to manage earnings and, in turn, affects analysts' ex post forecast errors. In particular, we find a tendency for firms rated a Sell...