Asymptotics for credit portfolio losses due to defaults in a multi-sector model

被引:0
|
作者
Chen, Shaoying [1 ]
Yang, Yang [1 ]
Zhang, Zhimin [2 ]
机构
[1] Nanjing Audit Univ, Sch Stat & Data Sci, Nanjing 211815, Jiangsu, Peoples R China
[2] Chongqing Univ, Coll Math & Stat, Chongqing 401331, Peoples R China
基金
中国国家自然科学基金;
关键词
Credit portfolio loss due to defaults; Multi-sector model; Sharp asymptotics; Macroeconomic factors; Multivariate regular variation; G230; G320; TAIL DISTORTION RISK; CONTAGION; DIVERSIFICATION; REINSURANCE; BEHAVIOR; SUMS;
D O I
10.1007/s10479-024-05934-5
中图分类号
C93 [管理学]; O22 [运筹学];
学科分类号
070105 ; 12 ; 1201 ; 1202 ; 120202 ;
摘要
Consider a credit portfolio with the investments in various sectors and exposed to an external stochastic environment. The portfolio loss due to defaults is of critical importance for social and economic security particularly in times of financial distress. We argue that the dependences among obligors within sectors (intradependence) and across sectors (interdependence) may coexist and influence the portfolio loss. To quantify the portfolio loss, we develop a multi-sector structural model in which a multivariate regular variation structure is employed to model the intradependence within sectors, and the interdependence across sectors is implied in the arbitrarily dependent macroeconomic factors, although, given them, obligors in different sectors are conditionally independent. We establish some sharp asymptotic formulas for the tail probability and the (tail) distortion risk measures of the portfolio loss. Our results show that the portfolio loss is mainly driven by the latent variables and the recovery rate function, and is also potentially affected by the macroeconomic factors and the intradependence within sectors. Moreover, we implement intensive numerical studies to examine the accuracy of the obtained approximations and conduct some sensitivity analysis.
引用
收藏
页码:23 / 44
页数:22
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