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Uniform asymptotics for ruin probabilities in a two-dimensional nonstandard renewal risk model with stochastic returns
In this paper, we consider a two-dimensional nonstandard renewal risk model with stochastic returns, in which the two lines of claim sizes form a sequence of independent and identically distributed random vectors following a bivariate Sarmanov distribution, and the two claim-number processes satisfy...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6244751/ https://www.ncbi.nlm.nih.gov/pubmed/30839840 http://dx.doi.org/10.1186/s13660-018-1913-6 |
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author | Dong, Yinghua Wang, Dingcheng |
author_facet | Dong, Yinghua Wang, Dingcheng |
author_sort | Dong, Yinghua |
collection | PubMed |
description | In this paper, we consider a two-dimensional nonstandard renewal risk model with stochastic returns, in which the two lines of claim sizes form a sequence of independent and identically distributed random vectors following a bivariate Sarmanov distribution, and the two claim-number processes satisfy a certain dependence structure. When the two marginal distributions of the claim-size vector belong to the intersection of the dominated-variation class and the class of long-tailed distributions, we obtain uniform asymptotic formulas of finite-time and infinite-time ruin probabilities. |
format | Online Article Text |
id | pubmed-6244751 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-62447512018-12-04 Uniform asymptotics for ruin probabilities in a two-dimensional nonstandard renewal risk model with stochastic returns Dong, Yinghua Wang, Dingcheng J Inequal Appl Research In this paper, we consider a two-dimensional nonstandard renewal risk model with stochastic returns, in which the two lines of claim sizes form a sequence of independent and identically distributed random vectors following a bivariate Sarmanov distribution, and the two claim-number processes satisfy a certain dependence structure. When the two marginal distributions of the claim-size vector belong to the intersection of the dominated-variation class and the class of long-tailed distributions, we obtain uniform asymptotic formulas of finite-time and infinite-time ruin probabilities. Springer International Publishing 2018-11-19 2018 /pmc/articles/PMC6244751/ /pubmed/30839840 http://dx.doi.org/10.1186/s13660-018-1913-6 Text en © The Author(s) 2018 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. |
spellingShingle | Research Dong, Yinghua Wang, Dingcheng Uniform asymptotics for ruin probabilities in a two-dimensional nonstandard renewal risk model with stochastic returns |
title | Uniform asymptotics for ruin probabilities in a two-dimensional nonstandard renewal risk model with stochastic returns |
title_full | Uniform asymptotics for ruin probabilities in a two-dimensional nonstandard renewal risk model with stochastic returns |
title_fullStr | Uniform asymptotics for ruin probabilities in a two-dimensional nonstandard renewal risk model with stochastic returns |
title_full_unstemmed | Uniform asymptotics for ruin probabilities in a two-dimensional nonstandard renewal risk model with stochastic returns |
title_short | Uniform asymptotics for ruin probabilities in a two-dimensional nonstandard renewal risk model with stochastic returns |
title_sort | uniform asymptotics for ruin probabilities in a two-dimensional nonstandard renewal risk model with stochastic returns |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6244751/ https://www.ncbi.nlm.nih.gov/pubmed/30839840 http://dx.doi.org/10.1186/s13660-018-1913-6 |
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