华南理工大学学报(自然科学版) ›› 2008, Vol. 36 ›› Issue (12): 138-141.

• 数学 • 上一篇    下一篇

香港恒生指数的波动性分析

方卫东1.2 李坤1  张建功2   

  1. 1. 华南理工大学 理学院, 广东 广州 510640; 2. 华南理工大学 工商管理学院, 广东 广州 510640
  • 收稿日期:2008-01-22 修回日期:2008-03-11 出版日期:2008-12-25 发布日期:2008-12-25
  • 通信作者: 方卫东(1963-),男,在职博士生,副教授,主要从事金融工程和矩阵理论研究. E-mail:wdfang@scut.edu.cn
  • 作者简介:方卫东(1963-),男,在职博士生,副教授,主要从事金融工程和矩阵理论研究.
  • 基金资助:

    国家自然科学基金资助项目(10571061)

Analysis of Fluctuation of Hong Kong Hang Seng Index

Fang Wei-dong 1.2  Li Kun1  Zhang Jian-gong2   

  1. 1. School of Science, South China University of Technology, Guangzhou 510640, Guangdong, China; 2. School of Business Administration, South China University of Technology, Guangzhou 510640, Guangdong, China
  • Received:2008-01-22 Revised:2008-03-11 Online:2008-12-25 Published:2008-12-25
  • Contact: 方卫东(1963-),男,在职博士生,副教授,主要从事金融工程和矩阵理论研究. E-mail:wdfang@scut.edu.cn
  • About author:方卫东(1963-),男,在职博士生,副教授,主要从事金融工程和矩阵理论研究.
  • Supported by:

    国家自然科学基金资助项目(10571061)

摘要: 利用粗粒化方法建立了描述香港股票市场恒生指数和交易量之间关系的复杂网络模型,分析了网络的拓扑特性和统计特性,揭示了恒生指数和交易量联合波动的变化特点.通过计算网络节点的介数指标和反比参与率,找到网络的重要节点,这些节点表示的波动模式在股票市场上控制和传递重要的信息,有助于理解恒生指数和交易量的联合变化规律.最后将网络模型与随机网络进行比较,说明香港股票市场恒生指数和交易量的联合变化具有统计稳定性.

关键词: 复杂网络, 恒生指数, 波动性, 交易量, 介数指标, 反比参与率

Abstract:

In this paper, a complex network model describing the relationship between the Hang Seng Index and the trading volume of Hong Kong stock market is established by means of the coarse graining method, and its topology and statistical characteristics are analyzed, thus revealing the fluctuation of the Hang Seng Index related to the trading volume. Then, by calculating the betweenness centrality and inverse participation ratio of each network node, some important topology nodes are obtained. These nodes denote significant patterns that play important roles in the information control and transportation of the stock market, and help to understand the fluctuation regularity of the stock index related to the trading volume. Finally, by comparing the proposed network model with the existing random networks, it is found that the fluctuation of the Hong Kong Hang Seng Index related to the trading volume is statistically stable.

Key words: complex network, Hang Seng Index, fluctuation, trading volume, betweenness centrality, inverse participation ratio