TY - JOUR
T1 - Multivariate risk measures based on conditional expectation and systemic risk for Exponential Dispersion Models
AU - Shushi, Tomer
AU - Yao, Jing
PY - 2020/7
Y1 - 2020/7
N2 - 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.
AB - 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.
UR - https://www.scopus.com/pages/publications/85084748123
U2 - 10.1016/j.insmatheco.2020.04.014
DO - 10.1016/j.insmatheco.2020.04.014
M3 - Article
SN - 0167-6687
VL - 93
SP - 178
EP - 186
JO - Insurance: Mathematics and Economics
JF - Insurance: Mathematics and Economics
ER -