DocumentCode
3260899
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
fYear
2011
fDate
8-10 Aug. 2011
Firstpage
883
Lastpage
886
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.
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Emergency Management and Management Sciences (ICEMMS), 2011 2nd IEEE International Conference on
Conference_Location
Beijing
Print_ISBN
978-1-4244-9665-5
Type
conf
DOI
10.1109/ICEMMS.2011.6015824
Filename
6015824
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