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...

We obtain a unique dataset to examine the effect of the Shanghai-Hong Kong Stock Connect program, which allows foreign investors from Hong Kong to buy stocks listed in Shanghai (northbound) and domestic investors from mainland China to buy stocks listed in Hong Kong (southbound). There is a...

We examine the stock price reactions to the mass inclusion of China A-shares in the Morgan Stanley Capital International (MSCI) global indices and find that stocks that would be included in the MSCI global indices earned significantly positive abnormal returns when the inclusion plan was first...

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...

Investors step into the stock market with the objective of earning smart returns on their investments. The stock market can help in realising these goals of the investors, however, all investments are subject to risks. The origin of the risk is the uncertainty of realising the desired returns on...

The weekday effect anomaly is considered as a market pricing anomaly which refers to some regularities in the rates of return during the week and thus, is a category of calendar anomalies. This article is focused on the Chinese stock market and its main objective is to assess the presence of the...

We investigate the impact of China's economic policy uncertainty (EPU) on the time series variation of Chinese stock market expected returns. Using the news based measure in Baker, Bloom, and Davis (2016), we find that EPU predicts negatively future stock market return at various horizons. This...

This paper investigates the predictive ability of international volatility risk for the daily aggregate Chinese stock market returns. We employ the innovations in implied volatility indices of seven major international markets as our international volatility risk proxies. We find that...

This paper investigates the effects of U.S. economic variables on the time variation of Chinese stock market volatility. We find that several U.S. economic variables such as the dividend price ratio, dividend yield and industrial production strongly forecast the future monthly volatilities of...

We quantitatively measure the Chinese stock market's reaction to the COVID-19 sentiments. Using 6.3 million textual data from both Official News media and Sina Weibo, we develop two COVID-19 sentiment indexes which capture the moods related to COVID-19. Our sentiments are real-time...