东北大学学报:自然科学版 ›› 2018, Vol. 39 ›› Issue (10): 1511-1515.DOI: 10.12068/j.issn.1005-3026.2018.10.028

• 管理科学 • 上一篇    下一篇

股指极端波动下中国股票市场网络拓扑结构

张伟平, 庄新田, 李延双   

  1. (东北大学 工商管理学院, 辽宁 沈阳110169)
  • 收稿日期:2017-06-15 修回日期:2017-06-15 出版日期:2018-10-15 发布日期:2018-09-28
  • 通讯作者: 张伟平
  • 作者简介:张伟平(1990-),女, 山东潍坊人,东北大学博士研究生; 庄新田 (1956-),男,吉林四平人,东北大学教授,博士生导师.冯明杰(1971-), 男, 河南禹州人, 东北大学副教授; 王恩刚(1962-), 男, 辽宁沈阳人, 东北大学教授,博士生导师.
  • 基金资助:
    国家自然科学基金资助项目(71671030, 71571038).国家自然科学基金资助项目(51171041).

Network Topology Struture of China Stock Market Under Extreme Volatility of Stock Indexes

ZHANG Wei-ping, ZHUANG Xin-tian, LI Yan-shuang   

  1. School of Business Administration, Northeastern University, Shenyang 110169, China.
  • Received:2017-06-15 Revised:2017-06-15 Online:2018-10-15 Published:2018-09-28
  • Contact: ZHANG Wei-ping
  • About author:-
  • Supported by:
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摘要: 采用最小生成树方法构建股票市场网络,研究中国股市网络在股指极端波动前、中、后阶段MST结构的演化、拓扑指标与关键节点不同时期的个体行为特征.结果表明:中国股市行业内有很强的聚集性和行业间的匀质性;在极端波动时MST网络收缩,波动后网络又伸展扩张;极端波动中后期,材料业和信息技术业异军突起占据网络重要位置;不同传染源引起的极端波动其风险传播途径不同.股指极端波动加剧了股票市场股票间的联动性,市场中资产发生重新配置,网络结构产生新的调整.

关键词: 最小生成树方法, 股指极端波动, 股票市场, MST网络, 拓扑结构

Abstract: Stock market network was constructed by using the minimum spanning tree method to study the evolution of MST structure, the topological indicators and individual behavior characteristics of the key nodes at different periods before, during and after the extreme volatility of stock indexes. The results showed that the China′s stock market industry has a strong concentration and industry-wide homogeneity. The MST network shrinks during extreme volatility, and the network expands after volatility. In the middle and late periods of extreme volatility, the sudden emergence of the materials industry and information technology industry occupies an important position in the network. The extreme volatility caused by different infectious sources has different ways of transmission risk. Extreme volatility in stock indexes exacerbates the linkage between stocks, assets are reconfigured in the market and the network structure is undergone new adjustments.

Key words: minimum spanning tree method, stock index extreme volatility, stock market, MST network, topological structure

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