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On evaluation of joint risk for nonnegative multivariate risks under dependence uncertainty

Registro MARC
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040  ‎$a‎MAP‎$b‎spa‎$d‎MAP
084  ‎$a‎6
100  ‎$0‎MAPA20260008110‎$a‎Gong, Shuo
24510‎$a‎On evaluation of joint risk for nonnegative multivariate risks under dependence uncertainty‎$c‎Shuo Gong, Yijun Hu and Linxiao Wei
520  ‎$a‎The article develops a novel axiomatic approach to the evaluation of joint risk in multivariate vectors of non-negative risks under dependence uncertainty. It introduces distortion-based joint risk measures, both scalar and vector-valued, and analyses their fundamental properties. The work explicitly addresses model uncertainty through model-free frameworks and the use of copulas. In addition, it establishes formal connections with existing multivariate risk measures such as Value at Risk (VaR), Conditional Tail Expectation (CTE), and tail-based risk measures. The results provide a solid theoretical foundation for advanced risk management in insurance and finance
650 4‎$0‎MAPA20080579258‎$a‎Cálculo actuarial
650 4‎$0‎MAPA20080591182‎$a‎Gerencia de riesgos
650 4‎$0‎MAPA20090039629‎$a‎Riesgo actuarial
650 4‎$0‎MAPA20080557799‎$a‎Dependencia
650 4‎$0‎MAPA20080604721‎$a‎Análisis multivariante
7001 ‎$0‎MAPA20260008127‎$a‎Hu, Yijun
7001 ‎$0‎MAPA20260008134‎$a‎Wei, Linxiao
7102 ‎$0‎MAPA20100017661‎$a‎International Actuarial Association
7730 ‎$w‎MAP20077000420‎$g‎20/04/2026 Volumen 56 Número 2 - abril 2026 , 25 p.‎$x‎0515-0361‎$t‎Astin bulletin‎$d‎Belgium : ASTIN and AFIR Sections of the International Actuarial Association