We propose a global expected business cycle condition factor (GEBC) relying on OECD leading economic indicators of 18 stock markets through Principal Component Analysis (PCA) approach, and show that this index is a powerful predictor for stock returns around the globe both in- and out-of-sample....

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...

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 study investigates the cross-country impact of U.S. equity market skewness risk. We find that a large decrease in the U.S. market skewness significantly predicts high future returns on international equity markets. The predictability remains significant after controlling for a set of U.S....

While numerous studies have analyzed the asset allocation issue of US stock market from various angles, much less attention has been paid to the asset allocation issue of Chinese stock market. This article investigates the asset allocation in Chinese stock market from a perspective of...

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...

In this paper, we propose a fundamental timing strategy in both U.S. and Chinese stock market to trade the fundamental sorted portfolios such as value and profitability portfolios in the time series dimension. We find that fundamental timing strategies based on moving average (MA) timing signals...

In the last few decades, we observed a significant increase in global economic activities and these activities may have an impact on both China's economy and stock market. Given the potential impact, we empirically examine whether US economic variables are leading indicators of the Chinese stock...

Using the long-term wavelet component of monthly S&P 500 excess returns as supervision information, we employ a machine learning method to extract the common predictive information of 14 prevalent macroeconomic variables, and construct a new macroeconomic index aligned for predicting stock...