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...

In this study we use a sample of 332 European mid-market buy-out transactions initiated by private equity firms over the period 1990 to 2011. The focus of this research is to identify and quantify the value creation drivers in buy-out transactions. For that purpose we use a novel methodology for...

We test the Fama-French three-factor model for a large international data set using an alternative proxy for expected returns - the implied cost of capital (ICC). The implied risk premiums of the three factors are all highly significant. Also, the cross-country variation of each of the three...