Title :
Notice of Retraction
Directed network research in Chinese stock market
Author :
Hua Chen ; Qi-ming Sun
Author_Institution :
Sch. of Econ. & Manage., Beijing Univ. of Posts & Telecommun., Beijing, China
Abstract :
Notice of Retraction
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
Complex networks can be used to describe so many complex systems. As the importance of correlation between companies in investment theory and risk management, more and more researchers are becoming interested in the stock market networks. In this paper, we study the time-dependent cross-correlation between different stock returns in Chinese stock market. By computing the correlation coefficients for each pair of stocks and analyzing the coefficient values, we find that the directed influence networks exist in Chinese stock market, and the maximum correlation coefficient appears at 1 minute shift. The market is still efficient because of the small correlation coefficient values and the time shift within a few minutes. Moreover, an example of a directed network in Chinese stock market is presented.
Keywords :
correlation methods; stock markets; Chinese stock market; complex network; complex system; correlation coefficient values; directed network research; investment theory; maximum correlation coefficient; risk management; stock market network; stock returns; time-dependent cross-correlation; Companies; Correlation; Fluctuations; Investments; Risk management; Stock markets; complex network; directed network; stock market; time-dependent cross-correlation;
Conference_Titel :
Emergency Management and Management Sciences (ICEMMS), 2011 2nd IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-9665-5
DOI :
10.1109/ICEMMS.2011.6015824