In this paper, we examine the January effect in China’s A-share stock market from January 1995 to December 2019 using both the solar and lunar calendars. We find consistent with the existing literature the absence of a traditional January effect in the solar calendar; however, we observe a...

By means of Event Study, Panel Data Regression and Feasible Generalized Least Squares, we discuss the influence of uncertainty of information on the Post-Earnings Announcement Drift. We find that there are not significant differences between the H-share financial statements and the A-share...

A recent theory of information uncertainty (IU) postulates a negative (positive) relationship between IU and future returns (momentum returns). We extend this theory by showing that its predictions could be conditioned by differences in behavioral biases induced by culture. We find that greater...

Our study tries to explore whether the financial strength proxied by F-score can predict the returns in Chinese stock market and its economic explanations. Results show that the financially stronger firms can generate higher expected raw returns and abnormal returns in Fama-French five-factor...

Listed Chinese companies can issue A-shares that are held mainly by domestic investors and B-shares that are held mainly by foreign investors. Although these twin shares have identical cash flow rights and are traded in the same location, A-shares are almost always priced higher than B-shares....

Using the "Dragon and Tiger" list, we construct a clean indicator that directly measures investor attention, empirically test the effect of investor attention on stock return under negative shocks and whether the effect is affected by the bull or bear market, the industry, firm size, age and...

This paper investigates how institutional investors matter for asset pricing by using daily institutional trading data and a natural experiment, the split–share structure reform in China. This reform required all listed companies to convert their non-tradable shares to tradable shares after...

The effect of investor sentiment on stock volatility is a highly attractive research question in both the academic field and the real financial industry. With the proposal of China's "dual carbon" target, green stocks have gradually become an essential branch of Chinese stock markets. Focusing...

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...

This paper investigates the predictability of the firm news tone on stock return in Chinese market. We find that the news tone significantly positively predicts the cross-sectional future return in both short and long horizon. Beyond this, we generally find while the online news could predict...