This paper uses accounting-based reverse engineering of market expectations to identify potentially mispriced stocks. Building upon the “errors-in-expectations” hypothesis, we develop a theoretically funded yet practical tool for stock screening in this paper. We use the Ohlson (1995) model...

We examine the post-IPO excess stock returns of hospitality firms from 1996 to 2012 and find underperformance relative to the market on average. However, there are large differences in returns and some firms significantly outperform. We demonstrate that a substantial portion of this variation...

We show that news stories contain information about economic linkages between firms and document that information diffuses slowly across linked stocks. Specifically, we identify linked stocks from co-mentions in news stories and find that linked stocks cross-predict one another's returns in the...

This paper develops an extension of Cochrane's (2008) joint hypothesis framework by allowing the coefficients to depend on the state of the economy. For recessions the results are clear-cut. Dividend yields vary entirely due to return predictability. However, in expansions, the "dog that did not...

We examine the information contained in option trading and short selling using a dynamic VAR model. First, we address whether options and shorts are complements or substitutes. Contrary to existing event studies around option listing introductions, we show short selling and options trading are...

Abstract We predict cumulative stock returns over horizons from 1 month to 10 years using a tree-based machine learning approach. Cumulative stock returns are significantly predictable in the cross-section over all horizons. A hedge portfolio generates 250 bp/month at a 1 year horizon and 110...

The Great Financial Crisis of 2008 – 2009 has raised the attention of policy-makers and researchers about the interconnectedness among the volatility of the returns of financial assets as a potential source of risk that extends beyond the usual changes in correlations and include transmission...

The objective of this article is to investigate the volatility asymmetry, volatility-volume relationship by considering trading volume as a mixing variable, and the risk-return relationship in the Indian stock market. Daily data from January 2, 1997 to May 30, 2013 for S&P CNX Nifty are used for...

This study investigates how returns on the S&P 500 (SP) dynamically respond to the aggregate corporate profit growth (CP) shock. The results from running the VAR model using quarterly data from 1951Q4 to 2012Q4 shows that returns on the SP significantly and positively respond to the CP shock...

We propose a new measure of time-varying tail risk that is directly estimable from the cross section of returns. We exploit firm-level price crashes every month to identify common fluctuations in tail risk across stocks. Our tail measure is significantly correlated with tail risk measures...