Debt risk analysis of non-financial corporates using two-tier networks

被引:3
作者
Cao, Yuan [1 ]
Wu, Desheng [1 ,2 ]
Li, Lei [1 ]
机构
[1] Univ Chinese Acad Sci, Beijing, Peoples R China
[2] Stockholm Univ, Stockholm, Sweden
基金
中国国家自然科学基金;
关键词
Non-financial corporation; Two-tier networks; Risk contagion; SYSTEMIC RISK; INTERNATIONAL TRANSMISSION; BANK RISK; MANAGEMENT; CONTAGION;
D O I
10.1108/IMDS-09-2019-0495
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
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.
引用
收藏
页码:1287 / 1307
页数:21
相关论文
共 47 条
[1]   Systemic Risk and Stability in Financial Networks [J].
Acemoglu, Daron ;
Ozdaglar, Asuman ;
Tahbaz-Salehi, Alireza .
AMERICAN ECONOMIC REVIEW, 2015, 105 (02) :564-608
[2]   Statistical mechanics of complex networks [J].
Albert, R ;
Barabási, AL .
REVIEWS OF MODERN PHYSICS, 2002, 74 (01) :47-97
[3]   Multiplex interbank networks and systemic importance: An application to European data [J].
Aldasoro, Inaki ;
Alves, Ivan .
JOURNAL OF FINANCIAL STABILITY, 2018, 35 :17-37
[4]   Financial contagion [J].
Allen, F ;
Gale, D .
JOURNAL OF POLITICAL ECONOMY, 2000, 108 (01) :1-33
[5]   Inhomogeneous Financial Networks and Contagious Links [J].
Amini, Hamed ;
Minca, Andreea .
OPERATIONS RESEARCH, 2016, 64 (05) :1109-1120
[6]  
[Anonymous], QUANTITATIVE FINANCE, DOI [DOI 10.3892/ETM.2018.6745.23, DOI 10.3892/etm.2018.6903]
[7]   Emergence of scaling in random networks [J].
Barabási, AL ;
Albert, R .
SCIENCE, 1999, 286 (5439) :509-512
[8]   Scale-Free Networks: A Decade and Beyond [J].
Barabasi, Albert-Laszlo .
SCIENCE, 2009, 325 (5939) :412-413
[9]   Bank risk, financial stress, and bank derivative use [J].
Bliss, Barbara A. ;
Clark, Jeffrey A. ;
DeLisle, R. Jared .
JOURNAL OF FUTURES MARKETS, 2018, 38 (07) :804-821
[10]  
Bollerslev T., 2018, QUAEDVLIEG R MULTIVA