We empirically investigate the relation between anomaly portfolio returns and market return predictability in the Chinese stock market. Using 132 long-leg, short-leg, and long-short anomaly portfolio returns, we employ several shrinkage-based statistical learning methods to capture predictive...

Based on Jiang, Kelly, and Xiu (JKX, 2021), we propose a new machine learning model to predict future returns using the price images in the Chinese stock market. We show that our model can achieve a more accurate out-of-sample prediction of a stock’s future return than a traditional model. The...

We analyze the relationship between insider trading density and the future stock returns in Chinese listed companies. We introduce a new aspect of the trading pattern, insider trading density, to investigate the information advantage held by insiders. Insiders who trade at a low density during...