Analysis of global stock index data during crisis period via complex network approach

PLoS One. 2018 Jul 18;13(7):e0200600. doi: 10.1371/journal.pone.0200600. eCollection 2018.

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.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Marketing*
  • Models, Economic*

Grants and funding

This research is supported by the National Natural Science Foundation of China (Grant No. 1433116), The funder's website: http://www.nsfc.gov.cn; and the Fundamental Research Funds for the Central Universities (Grant No. NP2017208). The funder's website: http://kyy.nuaa.edu.cn. The full name of above two funding institutions is Nanjing University of Aeronautics and Astronautics. Dechang Pi received all the above funding. The funders had important role in the study design and decision to publish.