This study develops and calibrates a revenue accruals model. Changes in accounts receivable and deferred revenues are modeled using the respective income statement and cash flow numbers (i.e., revenues and cash flows from sales) that relate directly to the accruals' origination and reversal....

Our study examines whether behavioural theories can explain post-earnings announcement drift (i.e., earnings momentum) in the Spanish market. In particular, we test models proposed by Daniel, Hirshleifer, and Subrahmanyan (1998), Hong and Stein (1999), and Barberis, Shleifer, and Vishny (1998)....

Post-earnings announcement drift is stronger in firms that release earnings on days when market returns are higher in magnitude. This drift remains robust after controlling for previously documented factors such as Friday releases, the number of simultaneous releases, and price delay measure....

Motivated by research in psychology and experimental economics, we assume that investors update their beliefs about an asset's value upon observing the price, but only when the price clearly reveals that others obtained private information that differs from their own private information. In...

We investigate whether a simple long-short weekly trading strategy based on mispricing among ETNs generates profits in excess of the S&P 500 over the sample period of June 6, 2006 to January 30, 2012. Ignoring transaction costs, liquidity, and short selling constraints we find the following. (1)...

Post-earnings-announcement drift (PEAD) is one of the most solidly documented asset pricing anomalies. We use the controlled conditions of an experimental lab to investigate whether earnings autocorrelation is the driving cause of this anomaly. We observe PEAD in settings with uncorrelated and...

This paper examines the relation between firm-level implied volatility skew and the likelihood of extreme negative events, or crash risk. I show that volatility skew identifies which firms are likely to experience crashes, but only in short-window earnings announcement periods. The predictive...