This study identifies the leading risk attributes to Chinese stock returns. We demonstrate that the forecasting ability of a multifactor expression that includes micro (fundamental) risk factors conditioned by time-varying macro global and local risk factors is significantly superior to the forecasting ability of simpler nested unconditional models. We conclude that micro and macro local and global risks are instrumental in describing the return-generating process of Chinese equities. Using an attribution analysis, we further show that the valuation of Chinese equities is largely conditioned by expected changes in local and global macro risks, and less by unconditional micro risk premiums
In this article we compare the performance of the traditional CAPM with the multi factor model of Fa...
We add to the emerging literature on empirical asset pricing in the Chinese stock market by building...
AcceptedArticle in Press“The final publication is available at Springer via http://dx.doi.org/10.100...
China's segmented stock market provides an opportunity to study conditional international asset pric...
This thesis examines the cross-sectional patterns in average stock returns for A shares in the Shang...
This article studies the dynamic return and market price of risk for Chinese stocks (A-B shares). A ...
This paper investigates what drove the great bull stock market of 2015 in China. Multiple regression...
This PhD thesis includes 4 chapters. The first and second chapters focus on testing the liquidity ri...
This paper explores the intertemporal relationship between the expected return and risk in Chinese e...
In this paper we examine the time-series predictability of the book-to-market (B/M) ratio for annual...
The Chinese stock market has experienced tremendous growth and development over the past years. It i...
I follow Novy Marx (2011, 2013) to investigate and compare firms’ gross profit, operating leverage a...
This paper analyzes the relationship between excess stock returns and the macroeconomy of China. A f...
This paper proposes a Markov regime-switching asset-pricing model and investigates the asymmetric ri...
China is the world’s largest investor and greatest contributor to global economic growth by wide mar...
In this article we compare the performance of the traditional CAPM with the multi factor model of Fa...
We add to the emerging literature on empirical asset pricing in the Chinese stock market by building...
AcceptedArticle in Press“The final publication is available at Springer via http://dx.doi.org/10.100...
China's segmented stock market provides an opportunity to study conditional international asset pric...
This thesis examines the cross-sectional patterns in average stock returns for A shares in the Shang...
This article studies the dynamic return and market price of risk for Chinese stocks (A-B shares). A ...
This paper investigates what drove the great bull stock market of 2015 in China. Multiple regression...
This PhD thesis includes 4 chapters. The first and second chapters focus on testing the liquidity ri...
This paper explores the intertemporal relationship between the expected return and risk in Chinese e...
In this paper we examine the time-series predictability of the book-to-market (B/M) ratio for annual...
The Chinese stock market has experienced tremendous growth and development over the past years. It i...
I follow Novy Marx (2011, 2013) to investigate and compare firms’ gross profit, operating leverage a...
This paper analyzes the relationship between excess stock returns and the macroeconomy of China. A f...
This paper proposes a Markov regime-switching asset-pricing model and investigates the asymmetric ri...
China is the world’s largest investor and greatest contributor to global economic growth by wide mar...
In this article we compare the performance of the traditional CAPM with the multi factor model of Fa...
We add to the emerging literature on empirical asset pricing in the Chinese stock market by building...
AcceptedArticle in Press“The final publication is available at Springer via http://dx.doi.org/10.100...