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Research on the relationships of the domestic mutual investment of China based on the cross-shareholding networks of the listed companies

Author

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  • Ma, Yuan-yuan
  • Zhuang, Xin-tian
  • Li, Ling-xuan

Abstract

Enterprises are the core power and the carriers to promote the country’s economy developing sustainably and rapidly; the listed enterprises are the outstanding companies which can represent the economic level at the places where the enterprises are located, so we establish the cross-shareholding networks of the listed companies between 2002 and 2009, and then analyze the mutual investment at company-level, province-level and region-level. We have researched the overall trend of economic development and the overall tendency of capital flow of China in the recent 8 years based on the cross-shareholding networks, the influence of a global economic crisis on the stock markets and the overall economics of China in 2008 and the recovery of the economy after the economic crisis. Moreover, we analyze the variations of the cross-shareholding networks and the influence of the state-owned large and medium enterprises listing frequently on Chinese stock markets. We divide the provinces of China into 3 main categories according to their industrial situations. Though the analysis, we find that the wealth gap between the different areas is not significantly reduced even though the government has carried out strategies such as the Development of the West Regions and the Rejuvenation of Old Industrial Bases in Northeastern China. We analyze the cumulative distribution function of the degree of the vertices and use large amounts of data to do empirical analysis. The methods used include the hierarchical cluster analysis, regression analysis, etc.

Suggested Citation

  • Ma, Yuan-yuan & Zhuang, Xin-tian & Li, Ling-xuan, 2011. "Research on the relationships of the domestic mutual investment of China based on the cross-shareholding networks of the listed companies," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 390(4), pages 749-759.
  • Handle: RePEc:eee:phsmap:v:390:y:2011:i:4:p:749-759
    DOI: 10.1016/j.physa.2010.10.042
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    References listed on IDEAS

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    1. Jiang, J. & Li, W. & Cai, X., 2008. "Cluster behavior of a simple model in financial markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 387(2), pages 528-536.
    2. R. Mantegna, 1999. "Hierarchical structure in financial markets," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 11(1), pages 193-197, September.
    3. Garlaschelli, Diego & Battiston, Stefano & Castri, Maurizio & Servedio, Vito D.P. & Caldarelli, Guido, 2005. "The scale-free topology of market investments," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 350(2), pages 491-499.
    4. Barabási, Albert-László & Albert, Réka & Jeong, Hawoong, 1999. "Mean-field theory for scale-free random networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 272(1), pages 173-187.
    5. Huang, Wei-Qiang & Zhuang, Xin-Tian & Yao, Shuang, 2009. "A network analysis of the Chinese stock market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 388(14), pages 2956-2964.
    6. Zhi-Qiang Jiang & Liang Guo & Wei-Xing Zhou, 2007. "Endogenous and exogenous dynamics in the fluctuations of capital fluxes: An empirical analysis of the Chinese stock market," Papers physics/0702035, arXiv.org.
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    Cited by:

    1. Li, Jie & Ren, Da & Feng, Xu & Zhang, Yongjie, 2016. "Network of listed companies based on common shareholders and the prediction of market volatility," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 462(C), pages 508-521.
    2. Hossein Dastkhan & Naser Shams Gharneh, 2016. "Determination of Systemically Important Companies with Cross-Shareholding Network Analysis: A Case Study from an Emerging Market," International Journal of Financial Studies, MDPI, Open Access Journal, vol. 4(3), pages 1-17, June.
    3. Gao, Bo & Ren, Ruo-en, 2013. "The topology of a causal network for the Chinese financial system," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(13), pages 2965-2976.
    4. repec:eee:phsmap:v:490:y:2018:i:c:p:1309-1323 is not listed on IDEAS

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