期刊文献+

交叉持股网络复杂特性研究 被引量:1

Research on Complex Characteristics of Cross-share Network
下载PDF
导出
摘要 将2005~2015年中国沪深A股中牵涉到交叉持股的上市公司选定为样本,从社会网络这一独特创新的视角,刻画上市公司相互持股的企业网络形态,面板数据表明中国上市公司交叉持股网络具有网络稀疏,低聚类系数、度分布具有无标度等特性,基于网络结构特性剖析当前我国交叉持股网络的静态特征,据此向相关监督部门提出合理化建议。 From 2005 to 2015, China' s Shanghai and Shenzhen A shares involved in cross-holding listed companies selected as a sample, from the social network of this unique innovation perspective, depicting the listed companies share each others corporate network form. The panel data show that the cross-shareholding net-work of Chinese listed companies has the characteristics of sparse network, low clustering coefficient, scale dis-tribution and scale-free. Based on the analysis of the static characteristics of the current cross-shareholding net-work in China, this paper puts forward to the relevant supervisory department Rationalization advice.
作者 章玥
出处 《科技创业月刊》 2017年第15期93-95,共3页 Journal of Entrepreneurship in Science & Technology
关键词 社会网络 交叉持股 无标度 social network crossholding no scale
  • 相关文献

参考文献3

二级参考文献70

  • 1R N Mantegnao Hierarchical structure in financial markets[J]. Eur. Phys. J. B, 1999,11:193-197.
  • 2Gergely Tibely, Jukka-Pekka Onnela, Jari Saramaki, Kimmo Kaski, Janos Kertesz. Spectrum, intensity and coherence in weighted networks of a financial market[J]. Physica A, 2006,370:145-150.
  • 3Vladimir Boginski, Sergiy Butenko, Panos M Pardalos. Statistical analysis of financial networks[J]. Computational Statistics & Data Analysis, 2005,48:431-443.
  • 4Kyungsik Kim, Soo Yong Kim, Deock-Ho Ha. Characteristics of networks in financial markets [J].Computer Physics Communications,2007,177:184-185.
  • 5G Bonanno, G Caldarelli, F Lillo, S Micciche, N Vandewalle, R N Mantegna. Networks of equities in financial markets [J]. Eur. Phys. J. B ,2004,38:363-371.
  • 6H J Kim, I M Kim. Scale-free network in stock markets[J].Joumal of the Korean Physical Society, 2002,40:1105-1108.
  • 7Amaral L A N, Ottino J M. Complex networks: augmenting the framework for the study of complex systems [J].The European physical journal B, 2004,38:147-162.
  • 8Kyoung Eun Lee, Jae Woo Lee, Byoung Hee Hong. Complex networks in a stock market [J]. Computer Physics Communications. 2007,177:186.
  • 9Cheoljun Eom, Gabjin Oh, Seunghwan Kim. Deterministic factors of stock networks based on cross-correlation in financial market [J]. Physica A, 2007, 383:139-146.
  • 10Ping Li, Bing-Hong Wang. Extracting hidden fluctuation patterns of Hang Seng stock index from network topologies[J].Physica A. 2007, 378:519-526.

共引文献39

同被引文献9

引证文献1

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部