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...

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...

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 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...

Recent evidence on the relationship between investor sentiment and subsequent monthly market returns in China shows that investor sentiment is a reliable momentum predictor since an increase (decrease) in investor sentiment leads to higher (lower) future returns. However, we suggest that...

Recently, tail risks have attracted much attention in the literature for their role in predicting the cross-sectional expected returns of stocks. Using a modified conditional value at risk (CVaR), the extreme loss and gain of stocks can be measured using the left-tail CVaR- and the right-tail...