东北大学学报:自然科学版 ›› 2015, Vol. 36 ›› Issue (3): 453-456.DOI: 10.12068/j.issn.1005-3026.2015.03.033

• 管理科学 • 上一篇    

上海股票市场网络拓扑指标与波动率的相关性

庄霄威, 金秀   

  1. (东北大学 工商管理学院, 辽宁 沈阳110819)
  • 收稿日期:2014-01-24 修回日期:2014-01-24 出版日期:2015-03-15 发布日期:2014-11-07
  • 通讯作者: 庄霄威
  • 作者简介:庄霄威(1986-),男,辽宁沈阳人,东北大学博士研究生; 金秀(1963-),女,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(71171042).

Correlation Between Network Topological Index and Volatility of Shanghai Stock Market

ZHUANG Xiao-wei, JIN Xiu   

  1. School of Business Administration, Northeastern University, Shenyang 110819, China.
  • Received:2014-01-24 Revised:2014-01-24 Online:2015-03-15 Published:2014-11-07
  • Contact: ZHUANG Xiao-wei
  • About author:-
  • Supported by:
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摘要: 以股票作为网络的节点,股票间关联性作为边,使用最小生成树方法构建上海证券市场股票网络,计算网络的基本拓扑指标,分析这些指标与股票市场波动率的相关性.结果表明: 网络的平均路径长度和市场波动率成负相关,当市场波动率越高,节点之间的距离越短,网络收缩越紧密;平均占有层和市场波动率成负相关,当市场波动率增加,网络中的点更趋近于中心节点;节点的最大度和市场波动率成正相关,随着市场波动率增加,网络节点之间的关联性增强,协同运动趋势增强.通过分析股票网络拓扑指标的变化规律从而对股票市场波动的变化进行预测.

关键词: 复杂网络, 股票市场, 市场波动率, 拓扑指标, 最小生成树

Abstract: Taking stocks and the correlation between stocks as network nodes and edge respectively, the network of Shanghai stock market was constructed by minimum spanning tree (MST). The basic topological index of network was calculated.And then the correlation between these indexes and stock market volatility was analyzed. The results show that there is a negative correlation between average path length of network and market volatility when market volatility is higher, distances between nodes are shorter, network contraction is closer; and there is a negative correlation between mean occupation layer and market volatility when the market volatility increases, nodes in the network close to the center node; and there is a positive correlation between the maximum number of links and market volatility when market volatility is higher, connection between the network nodes is strengthener,the co-movement tendency is reinforced. The volatility changing in the stock market is forecasted by analyzing the changing law of topological index of stock network.

Key words: complex network, stock market, market volatility, topological index, minimum spanning tree

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