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Tempered pareto-type modelling using weibull distributions
Recurso electrónico / Electronic resource
MARC record
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001  MAP20210027499
003  MAP
005  20210922173020.0
008  210920e2021 esp|||p |0|||b|spa d
040  ‎$a‎​MAP‎$b‎​spa‎$d‎​MAP
084  ‎$a‎​6
100  ‎$0‎​MAPA20080650025‎$a‎​Albrecher, Hansjörg ‌
24510‎$a‎​Tempered pareto-type modelling using weibull distributions‎$c‎​Hansjörg Albrecher, José Carlos Araujo-Acuna, Jan Beirlant
520  ‎$a‎​In various applications of heavy-tail modelling, the assumed Pareto behaviour is tempered ultimately in the range of the largest data. In insurance applications, claim payments are influenced by claim management and claims may, for instance, be subject to a higher level of inspection at highest damage levels leading to weaker tails than apparent from modal claims. Generalizing earlier results of Meerschaert et al. (2012) and Raschke (2020), in this paper we consider tempering of a Pareto-type distribution with a general Weibull distribution in a peaks-over-threshold approach. This requires to modulate the tempering parameters as a function of the chosen threshold. Modelling such a tempering effect is important in order to avoid overestimation of risk measures such as the value-at-risk at high quantiles. We use a pseudo maximum likelihood approach to estimate the model parameters and consider the estimation of extreme quantiles. We derive basic asymptotic results for the estimators, give illustrations with simulation experiments and apply the developed techniques to fire and liability insurance data, providing insight into the relevance of the tempering component in heavy-tail modelling.
650 4‎$0‎​MAPA20080579852‎$a‎​Datos financieros ‌
650 4‎$0‎​MAPA20080602444‎$a‎​Matemática financiera ‌
7730 ‎$w‎​MAP20077000420‎$t‎​Astin bulletin‎$d‎​Belgium : ASTIN and AFIR Sections of the International Actuarial Association‎$x‎​0515-0361‎$g‎​10/05/2021 Volumen 51 Número 2 - mayo 2021 , p. 509 - 538