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Parisian ruin for the dual risk process in discrete-time

In this paper we consider the Parisian ruin probabilities for the dual risk model in a discrete-time setting. By exploiting the strong Markov property of the risk process we derive a recursive expression for the finite-time Parisian ruin probability, in terms of classic discrete-time dual ruin proba...

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Autores principales: Palmowski, Zbigniew, Ramsden, Lewis, Papaioannou, Apostolos D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6003993/
https://www.ncbi.nlm.nih.gov/pubmed/29974030
http://dx.doi.org/10.1007/s13385-018-0172-8
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author Palmowski, Zbigniew
Ramsden, Lewis
Papaioannou, Apostolos D.
author_facet Palmowski, Zbigniew
Ramsden, Lewis
Papaioannou, Apostolos D.
author_sort Palmowski, Zbigniew
collection PubMed
description In this paper we consider the Parisian ruin probabilities for the dual risk model in a discrete-time setting. By exploiting the strong Markov property of the risk process we derive a recursive expression for the finite-time Parisian ruin probability, in terms of classic discrete-time dual ruin probabilities. Moreover, we obtain an explicit expression for the corresponding infinite-time Parisian ruin probability as a limiting case. In order to obtain more analytic results, we employ a conditioning argument and derive a new expression for the classic infinite-time ruin probability in the dual risk model and hence, an alternative form of the infinite-time Parisian ruin probability. Finally, we explore some interesting special cases, including the binomial/geometric model, and obtain a simple expression for the Parisian ruin probability of the gambler’s ruin problem.
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spelling pubmed-60039932018-07-02 Parisian ruin for the dual risk process in discrete-time Palmowski, Zbigniew Ramsden, Lewis Papaioannou, Apostolos D. Eur Actuar J Original Research Paper In this paper we consider the Parisian ruin probabilities for the dual risk model in a discrete-time setting. By exploiting the strong Markov property of the risk process we derive a recursive expression for the finite-time Parisian ruin probability, in terms of classic discrete-time dual ruin probabilities. Moreover, we obtain an explicit expression for the corresponding infinite-time Parisian ruin probability as a limiting case. In order to obtain more analytic results, we employ a conditioning argument and derive a new expression for the classic infinite-time ruin probability in the dual risk model and hence, an alternative form of the infinite-time Parisian ruin probability. Finally, we explore some interesting special cases, including the binomial/geometric model, and obtain a simple expression for the Parisian ruin probability of the gambler’s ruin problem. Springer Berlin Heidelberg 2018-04-25 2018 /pmc/articles/PMC6003993/ /pubmed/29974030 http://dx.doi.org/10.1007/s13385-018-0172-8 Text en © The Author(s) 2018 Open AccessThis 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 Original Research Paper
Palmowski, Zbigniew
Ramsden, Lewis
Papaioannou, Apostolos D.
Parisian ruin for the dual risk process in discrete-time
title Parisian ruin for the dual risk process in discrete-time
title_full Parisian ruin for the dual risk process in discrete-time
title_fullStr Parisian ruin for the dual risk process in discrete-time
title_full_unstemmed Parisian ruin for the dual risk process in discrete-time
title_short Parisian ruin for the dual risk process in discrete-time
title_sort parisian ruin for the dual risk process in discrete-time
topic Original Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6003993/
https://www.ncbi.nlm.nih.gov/pubmed/29974030
http://dx.doi.org/10.1007/s13385-018-0172-8
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