Nonlinear dynamic model of credit risk contagion in CRT market

Ting Qiang Chen, Qun Yao Yin, Jian Min He

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In this article, we build a nonlinear dynamics model of credit risk contagion in CRT market based on the connections of the complex relationship network between participants in CRT market only include Newman-Watts length scale connection and long distance connection, and study its dynamic behaviors. We find that, firstly, the increase of the effective rate of credit risk contagion can make the status curve of credit risk contagion happen some significant changes, further engender the Hopf bifurcation and chaos phenomenon in the process of credit risk contagion through experimental simulation. Secondly, the increase of the nonlinear resistance coefficient make Hopf bifurcation and chaos phenomena happen in advance. Thirdly, there are series of periodic windows in the chaos interval inside, in which present three intertwined state about Hopf bifurcation, pour bifurcation and chaos.

Original languageEnglish
Title of host publication2012 International Conference on Management Science and Engineering, ICMSE 2012 - 19th Annual Conference Proceedings
Pages250-256
Number of pages7
DOIs
StatePublished - 2012
Externally publishedYes
Event2012 19th Annual International Conference on Management Science and Engineering, ICMSE 2012 - Dallas, TX, United States
Duration: 20 Sep 201222 Sep 2012

Publication series

NameInternational Conference on Management Science and Engineering - Annual Conference Proceedings
ISSN (Print)2155-1847

Conference

Conference2012 19th Annual International Conference on Management Science and Engineering, ICMSE 2012
Country/TerritoryUnited States
CityDallas, TX
Period20/09/1222/09/12

Keywords

  • CRT market
  • Chaos
  • Hopf bifurcation
  • credit risk contagion
  • experimental simulation
  • nonlinear dynamics

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