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...

In this study, we examine how analysts are affected by the public actions of investors and other analysts by closely examining how analysts revise their earnings forecasts after an earnings announcement. In particular, we hypothesize that analysts observe the actions of investors and other...

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...

This study compares the information content of funds from operation (FFO) and net income (NI) in the real estate investment trust (REIT) industry. We find that models using FFO explain more of the variance in cumulative abnormal returns around earnings announcement dates than models using NI do....

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'...

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 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...

The flow of investment capital into the commodity futures market dramatically increased around 2004, and this event is referred to as the financialization of commodity markets. We study how this phenomenon has affected average returns in this asset class by examining how returns to popular...

Using monthly data from 01/1985 to 12/2012, we find that the accounting valuation-based predictor introduced in Lee, Myers, and Swaminathan (1999) has excellent in-sample and out-of-sample predictive performance. Our finding suggests that the accounting valuation-based predictor does not suffer...