Spatial Interaction Model of Credit Risk Contagion in the CRT Market

Tingqiang Chen, Xindan Li, Jining Wang

Research output: Contribution to journalArticlepeer-review

22 Scopus citations

Abstract

In this paper, we introduce an entropy spatial model of credit risk contagion in the credit risk transfer (CRT) market that considers the effects of spatial, industry-specific, regional financial and individual factors of the CRT market on credit risk contagion. We use numerical simulation to describe the influence and active mechanism of the spatial distance and transmission capacity between banks and investors in the CRT market. We also assess bank asset quality and credit risk transfer capability, as well as investor asset scale and risk preference level, bank financial development level, investors in the area and the weight of investors in the area relative to credit risk contagion. This model contributes to the explicit formalization of the connection between probability and spatial factors and provides new ideas and a theoretical framework for considering credit risk contagion in a spatial context, which has great relevance for credit risk management.

Original languageEnglish
Pages (from-to)519-537
Number of pages19
JournalComputational Economics
Volume46
Issue number4
DOIs
StatePublished - 1 Nov 2014

Keywords

  • CRT market
  • Credit risk contagion
  • Entropy spatial model
  • Risk preference
  • Spatial distance

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