Table of Contents Author Guidelines Submit a Manuscript
Complexity
Volume 2017, Article ID 4370203, 11 pages
https://doi.org/10.1155/2017/4370203
Research Article

Dynamic Evolution of Securities Market Network Structure under Acute Fluctuation Circumstances

1School of Management and Engineering, Nanjing University, Nanjing 210093, China
2School of Economic and Management, Nanjing Tech University, Nanjing 211816, China

Correspondence should be addressed to Tingqiang Chen; moc.361@88888888gnaiqgnit

Received 2 June 2017; Revised 27 August 2017; Accepted 14 September 2017; Published 6 November 2017

Academic Editor: Dimitri Volchenkov

Copyright © 2017 Haifei Liu et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

This empirical research applies cointegration in the traditional measurement method first to build directed weighted networks in the context of stock market. Then, this method is used to design the indicators and the value simulation for measuring network fluctuation and studying the dynamic evolution mechanism of stock market transaction networks as affected by price fluctuations. Finally, the topological structure and robustness of the network are evaluated. The results show that network structure stability is strong in the bull market stage and weak in the bear market stage. And the convergence rate of the dynamic evolution of network fluctuation is higher in the bull market stage than in the bear market stage.