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Tail variance for generalised hyper-elliptical models

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1001 ‎$0‎MAPA20140024575‎$a‎Ignatieva, Katja
24510‎$a‎Tail variance for generalised hyper-elliptical models‎$c‎Katja Ignatieva and Zinoviy Landsman
520  ‎$a‎This paper introduces a novel theoretical framework that offers a closed-form expression for the tail variance (TV) for the novel family of generalised hyper-elliptical (GHE) distributions. The GHE family combines an elliptical distribution with the generalised inverse Gaussian (GIG) distribution, resulting in a highly adaptable and powerful model
650 4‎$0‎MAPA20080602437‎$a‎Matemática del seguro
650 4‎$0‎MAPA20080604394‎$a‎Valoración de riesgos
650 4‎$0‎MAPA20080615611‎$a‎Teoría del valor extremo
650 4‎$0‎MAPA20080621285‎$a‎Distribuciones estadísticas
650 4‎$0‎MAPA20090039629‎$a‎Riesgo actuarial
650 4‎$0‎MAPA20250003316‎$a‎Gestión de riesgos
7001 ‎$0‎MAPA20110013387‎$a‎Landsman, Zinoviy
7102 ‎$0‎MAPA20100017661‎$a‎International Actuarial Association
7730 ‎$w‎MAP20077000420‎$g‎29/01/2025 Volume 55 Issue 1 - January 2025 , p. 144 - 167‎$x‎0515-0361‎$t‎Astin bulletin‎$d‎Belgium : ASTIN and AFIR Sections of the International Actuarial Association