In this paper, we show that the book-to-market decomposition described in Fama-French (2008) significantly improves the predictive power of the estimation for an important emerging market, viz, Chinese shares. Second, we show that this improvement comes mainly from the change in book equity and...

We employ a repertoire of machine learning models to explore the cross-sectional return predictability in cryptocurrency markets. While all methods generate substantial economic gains, those that account for nonlinearities and interactions fare the best. The return predictability derives mainly...