Multivariate risk measures based on conditional expectation and systemic risk for Exponential Dispersion Models

被引:10
|
作者
Shushi, Tomer [1 ]
Yao, Jing [2 ,3 ]
机构
[1] Ben Gurion Univ Negev, Guilford Glazer Fac Business & Management, Dept Business Adm, Beer Sheva, Israel
[2] Heriot Watt Univ, Maxwell Inst Math Sci, Edinburgh EH14 4AS, Midlothian, Scotland
[3] Heriot Watt Univ, Sch Math & Comp Sci, Edinburgh EH14 4AS, Midlothian, Scotland
来源
基金
中国国家自然科学基金; 以色列科学基金会;
关键词
Multivariate risk measures; Conditional expectation; Systemic risks; Capital allocation; Exponential dispersion models; COHERENT; EXTENSIONS;
D O I
10.1016/j.insmatheco.2020.04.014
中图分类号
F [经济];
学科分类号
02 ;
摘要
Exponential dispersion models are well used and studied in quantitative risk management and actuarial science. One of the main interests is the risk measurement analysis of such models when facing extreme loss events. In this paper, we propose two multivariate risk measures based on conditional expectation and derive the explicit formulae for exponential dispersion models. In particular, our multivariate risk measures could facilitate a systemic risk measure with explicit expressions for exponential dispersion models subject to any pre-specified "systemic event." We provide two numerical examples based on practical data to show the advantages of our approach in the context of exponential dispersion models. (C) 2020 Elsevier B.V. All rights reserved.
引用
收藏
页码:178 / 186
页数:9
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