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
相关论文
共 50 条
  • [21] Numerical comparison of multivariate models to forecasting risk measures
    Mueller, Fernanda Maria
    Righi, Marcelo Brutti
    RISK MANAGEMENT-JOURNAL OF RISK CRISIS AND DISASTER, 2018, 20 (01): : 29 - 50
  • [22] Multivariate systemic risk measures and computation by deep learning algorithms
    Doldi, A.
    Feng, Y.
    Fouque, J. -P.
    Frittelli, M.
    QUANTITATIVE FINANCE, 2023, 23 (10) : 1431 - 1444
  • [23] On multivariate contribution measures of systemic risk with applications in cryptocurrency market
    Wen, Limin
    Li, Junxue
    Pu, Tong
    Zhang, Yiying
    PROBABILITY IN THE ENGINEERING AND INFORMATIONAL SCIENCES, 2025,
  • [24] Multivariate systemic risk measures and computation by deep learning algorithms
    Doldi, A.
    Feng, Y.
    Fouque, J. -P.
    Frittelli, M.
    QUANTITATIVE FINANCE, 2021,
  • [25] ON THE RISK OF SYSTEMIC RISK MEASURES
    Boucher, Christophe
    Kouontchou, Patrick
    Maillet, Bertrand
    REVUE ECONOMIQUE, 2016, 67 (02): : 263 - 278
  • [26] Estimation of the multivariate conditional tail expectation for extreme risk levels: Illustration on environmental data sets
    Di Bernardino, Elena
    Prieur, Clementine
    ENVIRONMETRICS, 2018, 29 (07)
  • [27] Systemic risk measures
    Guerra, Solange Maria
    Silva, Thiago Christiano
    Tabak, Benjamin Miranda
    de Souza Penaloza, Rodrigo Andres
    de Castro Miranda, Rodrigo Cesar
    PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2016, 442 : 329 - 342
  • [28] Measures of Systemic Risk
    Feinstein, Zachary
    Rudloff, Birgit
    Weber, Stefan
    SIAM JOURNAL ON FINANCIAL MATHEMATICS, 2017, 8 (01): : 672 - 708
  • [29] Multivariate Shortfall Risk Allocation and Systemic Risk
    Armenti, Yannick
    Crepey, Stephane
    Drapeau, Samuel
    Papapantoleon, Antonis
    SIAM JOURNAL ON FINANCIAL MATHEMATICS, 2018, 9 (01): : 90 - 126
  • [30] Unified Bayesian conditional autoregressive risk measures using the skew exponential power distribution
    Marco Bottone
    Lea Petrella
    Mauro Bernardi
    Statistical Methods & Applications, 2021, 30 : 1079 - 1107