We use earnings forecasts from a cross-sectional model to proxy for cash flow expectations and estimate the implied cost of capital (ICC) for a large sample of firms over 1968-2008. The earnings forecasts generated by the cross-sectional model are superior to analysts' forecasts in terms of...

We evaluate the influence of measurement error in analysts' forecasts on the accuracy of implied cost of capital estimates from various implementations of the ‘implied cost of capital' approach, and develop corrections for the measurement error. We document predictable error in the implied...

I estimate a theory-based behavioral momentum using analysts' predictable underreaction (APU) as a proxy for newswatchers underreaction. The results show that APU strongly predicts analysts' errors and, more importantly, stock returns. A long-short strategy based on APU generates a...

We examine the out-of-sample performance of 240 stock market anomalies enhanced by 49 machine learning algorithms and over 260 individually trained models across an international data sample of nearly 1.9 billion stock-month-anomaly observations from 1980 to 2019. We demonstrate significant...

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...

We investigate the relation between two market anomalies to provide insights into analysts' role as information intermediaries. Prior research finds that accruals and analyst earnings forecast revisions predict future returns. We find that the accrual and forecast revision strategies generate...

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 show that actively managed U.S. hedge funds, on average, trade on the post-earnings announcement drift anomaly more aggressively than mutual funds. Both mutual and hedge funds that actively trade on drift anomaly face higher arbitrage risk. However arbitrage risk reduces mutual funds'...

Theory suggests that the informativeness of price at the time of an earnings announcement increases with the number of informed traders who possess superior information to process news from firm disclosures (Kyle 1985; Admati and Pfleiderer 1988; Kim and Verrecchia 1994). In this paper, we investigate...

We use the recent disappearance of the accrual anomaly to investigate analysts' contribution to improved information processing by investors. Prior research finds that investors and analysts made accrual-related pricing and forecast errors, respectively, in the anomaly period. As sophisticated...