Affiliation of Author(s):计算机科学与技术学院/人工智能学院/软件学院
Journal:PLOS ONE
Key Words:FINANCIAL CRISIS SMALL-WORLD MARKET DYNAMICS TREES
Abstract:Considerable research has been done on the complex stock market, however, there is very little systematic work on the impact of crisis on global stock markets. For filling in these gaps, we propose a complex network method, which analyzes the effects of the 2008 global financial crisis on global main stock index from 2005 to 2010. Firstly, we construct three weighted networks. The physics-derived technique of minimum spanning tree is utilized to investigate the networks of three stages. Regional clustering is found in each network. Secondly, we construct three average threshold networks and find the small-world property in the network before and during the crisis. Finally, the dynamical change of the network community structure is deeply analyzed with different threshold. The result indicates that for large thresholds, the network before and after the crisis has a significant community structure. Though this analysis, it would be helpful to investors for making decisions regarding their portfolios or to regulators for monitoring the key nodes to ensure the overall stability of the global stock market.
ISSN No.:1932-6203
Translation or Not:no
Date of Publication:2018-07-18
Co-author:李本田
Correspondence Author:Pi Dechang
Professor
Supervisor of Doctorate Candidates
Alma Mater:南京航空航天大学
School/Department:College of Computer Science and Technology
Business Address:南航江宁校区东区计算机学院
Contact Information:邮箱:nuaacs@126.com 电话:025-52110071
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