AbstractIn this paper, we study Chinese stock market structural changes based on Dissipative Structure Theory. We believe that stock market, as a complex open economic system, has basic features of dissipative structures according to a brief theoretical analysis. Then we introduce Bayesian analysis to study stock market structures in terms of probability. We apply Bayesian analysis to detect change-points and generalize this method for seeking structure-change-points. We use the continuous composite return series for empirical study. And we find that Chinese stock market made seven or eight structural changes from July 2001 to March 2015
This study employs the extreme value theory (EVT) and stochastic copulas to investigate the dependen...
China’s stock market has gone through major structural changes since its inception in the early 1990...
Day-of-the week anomalies and monthly effect have proven to be persistent in many of the developed s...
AbstractIn this paper, we study Chinese stock market structural changes based on Dissipative Structu...
We analyzed the structure of cross-correlation in China’s Shanghai Stock Exchange by examining daily...
Financial time series analyses have played an important role in developing some of the fundamental e...
The detection of community structure in stock market is of theoretical and practical significance fo...
After more than 30 years of development, China’s stock exchange market has already had a considerabl...
This thesis investigates the direction of causality between SSE Composite Index and nine world major...
This paper deals with the detection of change points and structural changes in the time series og st...
By applying symbolic principal component analysis (SPCA) to 10Â years (1996-2005) of interquartile d...
Abstract—In this paper, the data of Chinese stock markets is analyzed by the statistical methods and...
[[abstract]]The growth of a country?s stock market is a reflection of its economic development. Sinc...
We analyzed 546 stocks in the Singapore Stock Exchange (SGX) and 1173 stocks in the Hong Kong Stock ...
This thesis contributes to our knowledge of the behaviour of the Chinese stock market by offering an...
This study employs the extreme value theory (EVT) and stochastic copulas to investigate the dependen...
China’s stock market has gone through major structural changes since its inception in the early 1990...
Day-of-the week anomalies and monthly effect have proven to be persistent in many of the developed s...
AbstractIn this paper, we study Chinese stock market structural changes based on Dissipative Structu...
We analyzed the structure of cross-correlation in China’s Shanghai Stock Exchange by examining daily...
Financial time series analyses have played an important role in developing some of the fundamental e...
The detection of community structure in stock market is of theoretical and practical significance fo...
After more than 30 years of development, China’s stock exchange market has already had a considerabl...
This thesis investigates the direction of causality between SSE Composite Index and nine world major...
This paper deals with the detection of change points and structural changes in the time series og st...
By applying symbolic principal component analysis (SPCA) to 10Â years (1996-2005) of interquartile d...
Abstract—In this paper, the data of Chinese stock markets is analyzed by the statistical methods and...
[[abstract]]The growth of a country?s stock market is a reflection of its economic development. Sinc...
We analyzed 546 stocks in the Singapore Stock Exchange (SGX) and 1173 stocks in the Hong Kong Stock ...
This thesis contributes to our knowledge of the behaviour of the Chinese stock market by offering an...
This study employs the extreme value theory (EVT) and stochastic copulas to investigate the dependen...
China’s stock market has gone through major structural changes since its inception in the early 1990...
Day-of-the week anomalies and monthly effect have proven to be persistent in many of the developed s...