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Spatial Interaction Model of Credit Risk Contagion in the CRT Market

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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.

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Acknowledgments

We wish to express our gratitude to the referees for their invaluable comments. This study was supported by the National Natural Science Foundation of China (Nos. 71173098, 71271109, and 71301078), China Postdoctoral Science Foundation (2014M561626), the Philosophy and Social Sciences Research Funded Projects in Colleges and Universities of Jiangsu (2014SJB081).

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Authors and Affiliations

  1. School of Economics and Management, Nan**g Tech University, Nan**g, 211816, People’s Republic of China

    Tingqiang Chen & **ing Wang

  2. School of Management and Engineering, Nan**g University, Nan**g, 210093, People’s Republic of China

    Tingqiang Chen & **ndan Li

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  1. Tingqiang Chen
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  2. **ndan Li
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  3. **ing Wang
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Correspondence to Tingqiang Chen.

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Chen, T., Li, X. & Wang, J. Spatial Interaction Model of Credit Risk Contagion in the CRT Market. Comput Econ 46, 519–537 (2015). https://doi.org/10.1007/s10614-014-9475-2

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