{"title":"Vector-type precise large deviations for a nonstandard multidimensional risk model with some arbitrary dependence structures","authors":"B. Geng, S. Wang, W. Zhu","doi":"10.1007/s10474-024-01501-3","DOIUrl":null,"url":null,"abstract":"<div><p>Consider a nonstandard multidimensional risk model in which\nthe claim sizes from all lines of businesses, sharing a common claim-arrival renewal\nprocess, constitute a sequence of independent and identically distributed\nnonnegative random vectors, the common inter-arrival times are assumed to be\narbitrarily dependent and the dependence between claim size vectors and their\nwaiting times are also allowed to be arbitrary. Moreover, the claim sizes from\ndifferent lines of businesses are supposed to be extended negatively dependent.\nUnder some mild conditions, this paper achieves some vector-type precise large\ndeviation formulae for aggregate claims of such multidimensional risk model in the\npresence of dominatedly-varying claim sizes. The obtained results extend some\nexisting ones in the literature.</p></div>","PeriodicalId":50894,"journal":{"name":"Acta Mathematica Hungarica","volume":"175 1","pages":"158 - 173"},"PeriodicalIF":0.6000,"publicationDate":"2025-01-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Acta Mathematica Hungarica","FirstCategoryId":"100","ListUrlMain":"https://link.springer.com/article/10.1007/s10474-024-01501-3","RegionNum":3,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"MATHEMATICS","Score":null,"Total":0}
引用次数: 0
Abstract
Consider a nonstandard multidimensional risk model in which
the claim sizes from all lines of businesses, sharing a common claim-arrival renewal
process, constitute a sequence of independent and identically distributed
nonnegative random vectors, the common inter-arrival times are assumed to be
arbitrarily dependent and the dependence between claim size vectors and their
waiting times are also allowed to be arbitrary. Moreover, the claim sizes from
different lines of businesses are supposed to be extended negatively dependent.
Under some mild conditions, this paper achieves some vector-type precise large
deviation formulae for aggregate claims of such multidimensional risk model in the
presence of dominatedly-varying claim sizes. The obtained results extend some
existing ones in the literature.
期刊介绍:
Acta Mathematica Hungarica is devoted to publishing research articles of top quality in all areas of pure and applied mathematics as well as in theoretical computer science. The journal is published yearly in three volumes (two issues per volume, in total 6 issues) in both print and electronic formats. Acta Mathematica Hungarica (formerly Acta Mathematica Academiae Scientiarum Hungaricae) was founded in 1950 by the Hungarian Academy of Sciences.