This paper shows that low-risk stocks significantly outperform high-risk stocks in the local China A-share market. The main driver of this low-risk anomaly is volatility, and not beta. A Fama–French style VOL factor is not explained by the Fama–French–Carhart factors, and has the strongest...

Machine learning (ML) models for predicting stock returns are typically trained on one-month forward returns. While these models show impressive full-sample gross alphas, their performance net of transaction costs post 2004 is close to zero. By training on longer prediction horizons and using...

This paper provides first evidence about fund characteristics, absolute as well as risk-adjusted performance of Special Situation Funds, consisting out of hedge funds and mutual funds. Beside considerable differences in the characteristics, we document for both categories of funds a significant...

German Abstract: Das im Jahre 1993 veröffentlichte Fama-French-Modell ist heute zum Standardmodell zur Erklärung von Aktienrenditen geworden. Trotz seiner eher unbefriedigenden theoretischen Fundierung und seiner empirischen Schwächen hat sich bislang kein Alternativmodell etabliert....

In this paper, we examine size, value, and momentum patterns in the stock returns of four emerging market regions - Latin America, EMEA, Asia, and BRIC. We document a strong and highly significant value effect, and a strong but less significant momentum effect. Substantial value and momentum...