This paper empirically models China’s stock prices using conventional fundamentals: corporate earnings, risk-free interest rate, and a proxy for equity risk premium. It uses the estimated long-run stock price misalignments to date booms and busts, and analyses equity market reforms and excess liquidity as potential drivers of these stock price misalignments. Our results show that China’s equity prices can be reasonable well modelled using fundamentals, but that various booms and busts can be identified. Policy actions, either taking the form of deposit rate changes, equity market reforms or excess liquidity, seem to have significantly contributed to these misalignment
This thesis investigates ten markets: U.S., U.K., Hong Kong, Japan Singapore, Malaysia, South Korea,...
Previous research has struggled to explain the valuation of A-shares in the Shanghai stock market us...
Predicting stock market crashes is a focus of interest for both researchers and practitioners. Sever...
This paper investigates what drove the great bull stock market of 2015 in China. Multiple regression...
This article investigates how fundamental crash prediction models perform in mainland China’s fast-g...
Using a dynamic version of the present value model and a range of developed and Asian emerging marke...
This thesis examines the cross-sectional patterns in average stock returns for A shares in the Shang...
This paper, based on the relationship between the economy, policy and the financial market seeks to ...
The Chinese stock market has experienced tremendous growth and development over the past years. It i...
This study identifies the leading risk attributes to Chinese stock returns. We demonstrate that the ...
This study examines whether the Chinese stock markets been overvalued using the dividend discount mo...
On 27 February 2007, Chinese equity markets fell almost 9%. Hours later other global markets plunged...
We use evidence from the 2005-2006 reform of the Chinese stock market to study the impact of asset f...
AcceptedArticle in Press“The final publication is available at Springer via http://dx.doi.org/10.100...
This PhD thesis includes 4 chapters. The first and second chapters focus on testing the liquidity ri...
This thesis investigates ten markets: U.S., U.K., Hong Kong, Japan Singapore, Malaysia, South Korea,...
Previous research has struggled to explain the valuation of A-shares in the Shanghai stock market us...
Predicting stock market crashes is a focus of interest for both researchers and practitioners. Sever...
This paper investigates what drove the great bull stock market of 2015 in China. Multiple regression...
This article investigates how fundamental crash prediction models perform in mainland China’s fast-g...
Using a dynamic version of the present value model and a range of developed and Asian emerging marke...
This thesis examines the cross-sectional patterns in average stock returns for A shares in the Shang...
This paper, based on the relationship between the economy, policy and the financial market seeks to ...
The Chinese stock market has experienced tremendous growth and development over the past years. It i...
This study identifies the leading risk attributes to Chinese stock returns. We demonstrate that the ...
This study examines whether the Chinese stock markets been overvalued using the dividend discount mo...
On 27 February 2007, Chinese equity markets fell almost 9%. Hours later other global markets plunged...
We use evidence from the 2005-2006 reform of the Chinese stock market to study the impact of asset f...
AcceptedArticle in Press“The final publication is available at Springer via http://dx.doi.org/10.100...
This PhD thesis includes 4 chapters. The first and second chapters focus on testing the liquidity ri...
This thesis investigates ten markets: U.S., U.K., Hong Kong, Japan Singapore, Malaysia, South Korea,...
Previous research has struggled to explain the valuation of A-shares in the Shanghai stock market us...
Predicting stock market crashes is a focus of interest for both researchers and practitioners. Sever...