The ability to indicate factors which best explains common variation in stock returns, is crucial to construction of a correct pricing model and forecasting equity returns. Taking into account long finance literature, firm characteristics such as market capitalization, book-to-market ration, the...

Can a short-squeeze incident trigger financial contagion over the entire stock markets? The recent GameStop frenzy provides a unique natural experiment to explore this question. In this study, we examine the static and dynamic return and volatility connectedness among the GameStop stock, the...

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,...

WWe estimate the relative signal jump variance (RSJV) as the difference between the realized positive half-variance and negative half-variance divided by the realized variance using high-frequency intraday data and investigate its role in the cross-sectional pricing in the Chinese stock market....