Article: Ruin probabilities for the perturbed compound Poisson risk process with investment

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TitleRuin probabilities for the perturbed compound Poisson risk process with investment
AuthorsZhu, J2
Yang, H1
Ng, KW1
KeywordsAsymptotic behavior
Brownian motion
Compound Poisson
Force of interest
Laplace transform
Lundberg inequality
Martingale approach
Ruin probability
Upper bound
Issue Date2011
PublisherTaylor & Francis Inc. The Journal's web site is located at http://www.tandf.co.uk/journals/titles/03610926.asp
CitationCommunications In Statistics - Theory And Methods, 2011, v. 40 n. 21, p. 3917-3934 [How to Cite?]
DOI: http://dx.doi.org/10.1080/03610926.2010.501942
AbstractIn this article, we consider the perturbed compound Poisson risk process with investment incomes. The risk reserve process is perturbed by an independent Brownian motion and the surplus is invested at a constant force of interest. We investigate the asymptotic behavior of the ruin probability as the initial reserve goes to infinity. Bounds and time-dependent bounds are derived for the ultimate ruin probability and the probabilities of ruin within finite time, respectively. We also obtain an explicit expression for the Laplace transform of the ultimate ruin probability. © 2011 Taylor & Francis Group, LLC.
ISSN0361-0926
2011 Impact Factor: 0.274
2011 SCImago Journal Rankings: 0.035
DOIhttp://dx.doi.org/10.1080/03610926.2010.501942
ReferencesReferences in Scopus
GrantsAbsolute ruin probability in a jump diffusion model
DC Field
Value
dc.contributor.authorZhu, J
dc.contributor.authorYang, H
dc.contributor.authorNg, KW
dc.date.accessioned2011-12-21T08:55:56Z
dc.date.available2011-12-21T08:55:56Z
dc.date.issued2011
dc.description.abstractIn this article, we consider the perturbed compound Poisson risk process with investment incomes. The risk reserve process is perturbed by an independent Brownian motion and the surplus is invested at a constant force of interest. We investigate the asymptotic behavior of the ruin probability as the initial reserve goes to infinity. Bounds and time-dependent bounds are derived for the ultimate ruin probability and the probabilities of ruin within finite time, respectively. We also obtain an explicit expression for the Laplace transform of the ultimate ruin probability. © 2011 Taylor & Francis Group, LLC.
dc.description.grantAbsolute ruin probability in a jump diffusion model
dc.description.grantcode97278
dc.description.natureLink_to_subscribed_fulltext
dc.identifier.citationCommunications In Statistics - Theory And Methods, 2011, v. 40 n. 21, p. 3917-3934 [How to Cite?]
DOI: http://dx.doi.org/10.1080/03610926.2010.501942
dc.identifier.doihttp://dx.doi.org/10.1080/03610926.2010.501942
dc.identifier.epage3934
dc.identifier.hkuros197981
dc.identifier.isiWOS:000299994500014
Funding AgencyGrant Number
Research Grants Council of the Hong Kong Special Administrative Region, ChinaHKU 7540/08H
HKU200707176097
Funding Information:

The authors would like to thank the referee for helpful remarks and suggestions. Hailiang Yang would like to acknowledge the Research Grants Council of the Hong Kong Special Administrative Region, China (project No. HKU 7540/08H) and a Small Project Funding from HKU (No. 200707176097).

dc.identifier.issn0361-0926
2011 Impact Factor: 0.274
2011 SCImago Journal Rankings: 0.035
dc.identifier.issue21
dc.identifier.scopuseid_2-s2.0-80053240506
dc.identifier.spage3917
dc.identifier.urihttp://hdl.handle.net/10722/143790
dc.identifier.volume40
dc.languageeng
dc.publisherTaylor & Francis Inc. The Journal's web site is located at http://www.tandf.co.uk/journals/titles/03610926.asp
dc.publisher.placeUnited States
dc.relation.ispartofCommunications in Statistics - Theory and Methods
dc.relation.referencesReferences in Scopus
dc.subjectAsymptotic behavior
dc.subjectBrownian motion
dc.subjectCompound Poisson
dc.subjectForce of interest
dc.subjectLaplace transform
dc.subjectLundberg inequality
dc.subjectMartingale approach
dc.subjectRuin probability
dc.subjectUpper bound
dc.titleRuin probabilities for the perturbed compound Poisson risk process with investment
dc.typeArticle
Author Affiliations
  1. The University of Hong Kong
  2. University of New South Wales