Network-based risk measurements for interbank systems

被引:6
作者
Li, Yongli [1 ]
Liu, Guanghe [1 ,2 ]
Pin, Paolo [3 ,4 ]
机构
[1] Northeastern Univ, Sch Business Adm, Shenyang, Liaoning, Peoples R China
[2] Sun Yat Sen Univ, Business Sch, Guangzhou, Guangdong, Peoples R China
[3] Univ Bocconi, Innocenzo Gasparini Inst Econ Res, Dept Decis Sci, Milan, Italy
[4] Univ Bocconi, Bocconi Inst Data Sci & Analyt, Milan, Italy
来源
PLOS ONE | 2018年 / 13卷 / 07期
基金
中国博士后科学基金; 中国国家自然科学基金;
关键词
FINANCIAL NETWORKS; CONTAGION; STABILITY; MARKETS; DIFFUSION; MODEL;
D O I
10.1371/journal.pone.0200209
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
This paper focuses on evaluating the systemic risk in interbank networks, proposing a series of measurements: risk distance, risk degree and m-order risk degree. The proposed measurements are formally proven to have good basic and extended properties that are able to reflect the effect of bank size, liability size, liability distribution, and the discount factor on the default risk, not only of a single bank, but also of the entire system. Additionally, the above-mentioned properties and the relationship between risk distance and financial contagion indicate the rationality embodied in the proposed measurements. This paper also provides some implications on how to decrease or prevent the systemic risk in an interbank system.
引用
收藏
页数:18
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