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Debt risk analysis of non-financial corporates using two-tier networks
Stockholm University, Faculty of Social Sciences, Stockholm Business School. University of Chinese Academy of Sciences, China.
Number of Authors: 32020 (English)In: Industrial management & data systems, ISSN 0263-5577, E-ISSN 1758-5783, Vol. 120, no 7, p. 1287-1307Article in journal (Refereed) Published
Abstract [en]

Purpose Non-financial corporate debt is one of the important sources of systematic risk in the real economy. Assessing a measure of systematic risk in corporation debt is currently a key challenge. In this regard, we propose a two-tier risk contagion networks model. Design/methodology/approach Assessing a measure of systematic risk in corporation debt is currently a key challenge. In this regard, we propose a two-tier risk contagion networks model based on four dimensions: concept definition, data structure, risk contagion network construction, and risk measurement indicators construction. We take the Jiangsu bond issuer guarantee network as a sample area. Findings Taking the Jiangsu bond issuer guarantee network as a sample area, we find that there is a strong correlation between the debts of non-financial corporation in China, and it is easy to become a potential regional systematic risk source. In addition, our empirical research also reveals that external risk exposure and node degree of network are two key indicators when identifying key risk-contagion enterprises. Originality/value The main contributions of this study are two-fold. First, this article proposes a two-tier risk contagion networks model to measure systematic risk in non-financial corporation. Second, this article describes the structure of the corporate risk contagion network.

Place, publisher, year, edition, pages
2020. Vol. 120, no 7, p. 1287-1307
Keywords [en]
Non-financial corporation, Two-tier networks, Risk contagion
National Category
Economics and Business
Identifiers
URN: urn:nbn:se:su:diva-180403DOI: 10.1108/IMDS-09-2019-0495ISI: 000515188900001OAI: oai:DiVA.org:su-180403DiVA, id: diva2:1420530
Available from: 2020-03-31 Created: 2020-03-31 Last updated: 2022-02-26Bibliographically approved

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Wu, Desheng

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