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Article: On the first time of ruin in the bivariate compound Poisson model
Title | On the first time of ruin in the bivariate compound Poisson model |
---|---|
Authors | |
Keywords | Association Property Compound Binomial Compound Poisson Orthant Order Ruin Probability Survival Probability |
Issue Date | 2006 |
Publisher | Elsevier BV. The Journal's web site is located at http://www.elsevier.com/locate/ime |
Citation | Insurance: Mathematics And Economics, 2006, v. 38 n. 2, p. 298-308 How to Cite? |
Abstract | This paper considers a bivariate compound Poisson model for a book of two dependent classes of insurance business. We focus on the ruin probability that at least one class of business will get ruined. As expected, general explicit expressions for this bivariate ruin probability is very difficult to obtain. In view of this, we introduce the so-called bivariate compound binomial model which can be used to approximate the finite-time survival probability of the assumed model. We then study some simple bounds for the infinite-time ruin probability via the association properties of the bivariate compound Poisson model. We also investigate the impact of dependence on the infinite-time ruin probability by means of multivariate stochastic orders. © 2005 Elsevier B.V. All rights reserved. |
Persistent Identifier | http://hdl.handle.net/10722/172420 |
ISSN | 2021 Impact Factor: 2.168 2020 SCImago Journal Rankings: 1.139 |
ISI Accession Number ID | |
References |
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Yuen, KC | en_US |
dc.contributor.author | Guo, J | en_US |
dc.contributor.author | Wu, X | en_US |
dc.date.accessioned | 2012-10-30T06:22:25Z | - |
dc.date.available | 2012-10-30T06:22:25Z | - |
dc.date.issued | 2006 | en_US |
dc.identifier.citation | Insurance: Mathematics And Economics, 2006, v. 38 n. 2, p. 298-308 | en_US |
dc.identifier.issn | 0167-6687 | en_US |
dc.identifier.uri | http://hdl.handle.net/10722/172420 | - |
dc.description.abstract | This paper considers a bivariate compound Poisson model for a book of two dependent classes of insurance business. We focus on the ruin probability that at least one class of business will get ruined. As expected, general explicit expressions for this bivariate ruin probability is very difficult to obtain. In view of this, we introduce the so-called bivariate compound binomial model which can be used to approximate the finite-time survival probability of the assumed model. We then study some simple bounds for the infinite-time ruin probability via the association properties of the bivariate compound Poisson model. We also investigate the impact of dependence on the infinite-time ruin probability by means of multivariate stochastic orders. © 2005 Elsevier B.V. All rights reserved. | en_US |
dc.language | eng | en_US |
dc.publisher | Elsevier BV. The Journal's web site is located at http://www.elsevier.com/locate/ime | en_US |
dc.relation.ispartof | Insurance: Mathematics and Economics | en_US |
dc.subject | Association Property | en_US |
dc.subject | Compound Binomial | en_US |
dc.subject | Compound Poisson | en_US |
dc.subject | Orthant Order | en_US |
dc.subject | Ruin Probability | en_US |
dc.subject | Survival Probability | en_US |
dc.title | On the first time of ruin in the bivariate compound Poisson model | en_US |
dc.type | Article | en_US |
dc.identifier.email | Yuen, KC: kcyuen@hku.hk | en_US |
dc.identifier.authority | Yuen, KC=rp00836 | en_US |
dc.description.nature | link_to_subscribed_fulltext | en_US |
dc.identifier.doi | 10.1016/j.insmatheco.2005.08.011 | en_US |
dc.identifier.scopus | eid_2-s2.0-33644860602 | en_US |
dc.relation.references | http://www.scopus.com/mlt/select.url?eid=2-s2.0-33644860602&selection=ref&src=s&origin=recordpage | en_US |
dc.identifier.volume | 38 | en_US |
dc.identifier.issue | 2 | en_US |
dc.identifier.spage | 298 | en_US |
dc.identifier.epage | 308 | en_US |
dc.identifier.isi | WOS:000236437100006 | - |
dc.publisher.place | Netherlands | en_US |
dc.identifier.scopusauthorid | Yuen, KC=7202333703 | en_US |
dc.identifier.scopusauthorid | Guo, J=7404490037 | en_US |
dc.identifier.scopusauthorid | Wu, X=7408238280 | en_US |
dc.identifier.issnl | 0167-6687 | - |