In questioning Kamstra, Kramer, and Levi's (2003) finding of an economically and statistically significant seasonal affective disorder (SAD) effect, Kelly and Meschke (2010) make errors of commission and omission. They misrepresent their empirical results, claiming that the SAD effect arises due...

Unlike the existing literature on value and growth investing, this paper takes a different point of view by conducting a "between-markets analysis." First of all, it asks whether the value premium also exists on a country level, in the sense that country indexes that are undervalued consistently...

This paper provides global evidence supporting the hypothesis that expected return models are enhanced by the inclusion of variables that describe the evolution of book-to-market—changes in book value, changes in price, and net share issues. This conclusion is supported using data representing...

We investigate the relation between downside beta and stock returns in a global context using more than 170 million daily return observations. Contrary to the findings in the U.S. equity market, we show that downside beta does not explain the cross-sectional differences in future and...

We show that stock prices underreact when there is a political event, reflected in higher momentum returns. We conjecture that political news crowds out stock news cause investors to distract, trade more indexes and underreact to firm specific news. We analyze momentum returns following general...

Despite momentum's strong historical performance, its returns have large negative skewness and occasionally experiences persistent strings of sharp negative returns, referred as "momentum crashes" in the recent literature. I argue that momentum crashes are due to crowded trades which push prices...

This paper provides global evidence supporting the hypothesis that expected return models are enhanced by the inclusion of variables that describe the evolution of book-to-market-changes in book value, changes in price, and net share issues. This conclusion is supported using data representing...

We examine return predictability with machine learning in 46 international stock markets. We calculate 148 stock characteristics and use them to feed a repertoire of different models. The algorithms extract predictability mainly from simple, yet popular, factor types—such as momentum,...

Using the multivariate quantile model, this paper develops a global economic policy uncertainty (EPU) spillover measure for each country, and investigates the spillover effects on the country-level stock market idiosyncratic volatility across a sample of 23 economies. The regression results show...