Structure Characteristics of the International Stock Market Complex Network in the Perspective of Whole and Part
International stock market forms an abstract complex network through the fluctuation correlation of stock price index. Past studies of complex network almost focus on single country’s stock market. Here we investigate the whole and partial characteristics of international stock market network (ISMN)...
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Series: | Discrete Dynamics in Nature and Society |
Online Access: | http://dx.doi.org/10.1155/2017/9731219 |
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doaj-492803adc38445b9a29d8e64af7bc0502020-11-25T00:48:04ZengHindawi LimitedDiscrete Dynamics in Nature and Society1026-02261607-887X2017-01-01201710.1155/2017/97312199731219Structure Characteristics of the International Stock Market Complex Network in the Perspective of Whole and PartGuangxi Cao0Yingying Shi1Qingchen Li2School of Economics and Management, Nanjing University of Information Science & Technology, Ningliu Road 219, Nanjing 210044, ChinaSchool of Economics and Management, Nanjing University of Information Science & Technology, Ningliu Road 219, Nanjing 210044, ChinaSchool of Economics and Management, Nanjing University of Science and Technology, Nanjing 210094, ChinaInternational stock market forms an abstract complex network through the fluctuation correlation of stock price index. Past studies of complex network almost focus on single country’s stock market. Here we investigate the whole and partial characteristics of international stock market network (ISMN) (hereinafter referred to as ISMN). For the analysis on the whole network, we firstly determine the reasonable threshold as the basic of the following study. Robustness is applied to analyze the stability of the network and the result shows that ISMN has robustness against random attack but intentional attack breaks the connection integrity of ISMN rapidly. In the partial network, the sliding window method is used to analyze the dynamic evolution of the relationship between the Chinese (Shanghai) stock market and the international stock market. The connection between the Chinese stock market and foreign stock markets becomes increasingly closer, and the links between them show a significant enhancement especially after China joined the WTO. In general, we suggest that transnational investors pay more attention to some significant event of the stock market with large degree for better risk-circumvention.http://dx.doi.org/10.1155/2017/9731219 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Guangxi Cao Yingying Shi Qingchen Li |
spellingShingle |
Guangxi Cao Yingying Shi Qingchen Li Structure Characteristics of the International Stock Market Complex Network in the Perspective of Whole and Part Discrete Dynamics in Nature and Society |
author_facet |
Guangxi Cao Yingying Shi Qingchen Li |
author_sort |
Guangxi Cao |
title |
Structure Characteristics of the International Stock Market Complex Network in the Perspective of Whole and Part |
title_short |
Structure Characteristics of the International Stock Market Complex Network in the Perspective of Whole and Part |
title_full |
Structure Characteristics of the International Stock Market Complex Network in the Perspective of Whole and Part |
title_fullStr |
Structure Characteristics of the International Stock Market Complex Network in the Perspective of Whole and Part |
title_full_unstemmed |
Structure Characteristics of the International Stock Market Complex Network in the Perspective of Whole and Part |
title_sort |
structure characteristics of the international stock market complex network in the perspective of whole and part |
publisher |
Hindawi Limited |
series |
Discrete Dynamics in Nature and Society |
issn |
1026-0226 1607-887X |
publishDate |
2017-01-01 |
description |
International stock market forms an abstract complex network through the fluctuation correlation of stock price index. Past studies of complex network almost focus on single country’s stock market. Here we investigate the whole and partial characteristics of international stock market network (ISMN) (hereinafter referred to as ISMN). For the analysis on the whole network, we firstly determine the reasonable threshold as the basic of the following study. Robustness is applied to analyze the stability of the network and the result shows that ISMN has robustness against random attack but intentional attack breaks the connection integrity of ISMN rapidly. In the partial network, the sliding window method is used to analyze the dynamic evolution of the relationship between the Chinese (Shanghai) stock market and the international stock market. The connection between the Chinese stock market and foreign stock markets becomes increasingly closer, and the links between them show a significant enhancement especially after China joined the WTO. In general, we suggest that transnational investors pay more attention to some significant event of the stock market with large degree for better risk-circumvention. |
url |
http://dx.doi.org/10.1155/2017/9731219 |
work_keys_str_mv |
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