Predicting stock market crashes and corrections is a focus of interest for both researchers and practitioners. Several prediction models have been developed, mostly on mature financial markets. In this paper, we investigate whether fundamental crash predictors, the price-to-earnings ratio, the...

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...

Considering the strong gambling preference of retail investors in emerging markets and using the data of Chinese A-share listed companies from 2000 to 2018, this paper constructs an index of investor's gambling preference based on the theory of explicit preference and develops a factor model to...

In this paper we examine the information content of extreme trading activity in the Chinese stock market. We find that zero-investment portfolios that are constructed by buying high-volume and selling low-volume stocks do not generate positive returns (high-volume return premium), which is...