Some advances on the Erlang(n) dual risk model
Autor(a) principal: | |
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Data de Publicação: | 2015 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10400.5/24459 |
Resumo: | The dual risk model assumes that the surplus of a company decreases at a constant rate over time and grows by means of upward jumps, which occur at random times and sizes. It has applications to companies with economical activities involved in research and development. This model is dual to the well known Cram´er-Lundberg risk model with applications to insurance. Existing results on the study of the dual model assume that the random waiting times between consecutive gains follow an exponential distribution, as in the classical Cram´er–Lunderg risk model. We generalize to other compound renewal risk models where such waiting times are Erlang(n) distributed. Using the roots of the fundamental and the generalized Lundberg’s equation, we get expressions for the ruin probability and the Laplace transform of the time of ruin for an arbitrary single gain distribution. Furthermore, we compute expected discounted dividends, as well as higher moments, when the individual common gains follow a Phase–Type, PH(m), distribution. Finally, we perform illustrations working some examples for some particular gain distributions and obtain numerical results |
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Some advances on the Erlang(n) dual risk modelDual Risk ModelErlang(n) Interarrival TimesPhase–Type DistributionGeneralized Lundberg’s EquationRuin ProbabilityTime of RuinExpected Discounted DividendsThe dual risk model assumes that the surplus of a company decreases at a constant rate over time and grows by means of upward jumps, which occur at random times and sizes. It has applications to companies with economical activities involved in research and development. This model is dual to the well known Cram´er-Lundberg risk model with applications to insurance. Existing results on the study of the dual model assume that the random waiting times between consecutive gains follow an exponential distribution, as in the classical Cram´er–Lunderg risk model. We generalize to other compound renewal risk models where such waiting times are Erlang(n) distributed. Using the roots of the fundamental and the generalized Lundberg’s equation, we get expressions for the ruin probability and the Laplace transform of the time of ruin for an arbitrary single gain distribution. Furthermore, we compute expected discounted dividends, as well as higher moments, when the individual common gains follow a Phase–Type, PH(m), distribution. Finally, we perform illustrations working some examples for some particular gain distributions and obtain numerical resultsCambridge School PressRepositório da Universidade de LisboaRodríguez-Martínez, Eugenio V.Cardoso, Rui M. R.Reis, Alfredo D. Egídio dos2022-06-01T15:45:40Z20152015-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.5/24459engRodríguez-Martínez, Eugenio V., Rui M.R. Cardoso and Alfredo D. Egídio dos Reis. (2015). "Some advances on the Erlang (n) dual risk model." ASTIN Bulletin: The Journal of the IAA 45 (1): pp. 127-150.info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-03-06T14:54:06Zoai:www.repository.utl.pt:10400.5/24459Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T17:08:30.057705Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
Some advances on the Erlang(n) dual risk model |
title |
Some advances on the Erlang(n) dual risk model |
spellingShingle |
Some advances on the Erlang(n) dual risk model Rodríguez-Martínez, Eugenio V. Dual Risk Model Erlang(n) Interarrival Times Phase–Type Distribution Generalized Lundberg’s Equation Ruin Probability Time of Ruin Expected Discounted Dividends |
title_short |
Some advances on the Erlang(n) dual risk model |
title_full |
Some advances on the Erlang(n) dual risk model |
title_fullStr |
Some advances on the Erlang(n) dual risk model |
title_full_unstemmed |
Some advances on the Erlang(n) dual risk model |
title_sort |
Some advances on the Erlang(n) dual risk model |
author |
Rodríguez-Martínez, Eugenio V. |
author_facet |
Rodríguez-Martínez, Eugenio V. Cardoso, Rui M. R. Reis, Alfredo D. Egídio dos |
author_role |
author |
author2 |
Cardoso, Rui M. R. Reis, Alfredo D. Egídio dos |
author2_role |
author author |
dc.contributor.none.fl_str_mv |
Repositório da Universidade de Lisboa |
dc.contributor.author.fl_str_mv |
Rodríguez-Martínez, Eugenio V. Cardoso, Rui M. R. Reis, Alfredo D. Egídio dos |
dc.subject.por.fl_str_mv |
Dual Risk Model Erlang(n) Interarrival Times Phase–Type Distribution Generalized Lundberg’s Equation Ruin Probability Time of Ruin Expected Discounted Dividends |
topic |
Dual Risk Model Erlang(n) Interarrival Times Phase–Type Distribution Generalized Lundberg’s Equation Ruin Probability Time of Ruin Expected Discounted Dividends |
description |
The dual risk model assumes that the surplus of a company decreases at a constant rate over time and grows by means of upward jumps, which occur at random times and sizes. It has applications to companies with economical activities involved in research and development. This model is dual to the well known Cram´er-Lundberg risk model with applications to insurance. Existing results on the study of the dual model assume that the random waiting times between consecutive gains follow an exponential distribution, as in the classical Cram´er–Lunderg risk model. We generalize to other compound renewal risk models where such waiting times are Erlang(n) distributed. Using the roots of the fundamental and the generalized Lundberg’s equation, we get expressions for the ruin probability and the Laplace transform of the time of ruin for an arbitrary single gain distribution. Furthermore, we compute expected discounted dividends, as well as higher moments, when the individual common gains follow a Phase–Type, PH(m), distribution. Finally, we perform illustrations working some examples for some particular gain distributions and obtain numerical results |
publishDate |
2015 |
dc.date.none.fl_str_mv |
2015 2015-01-01T00:00:00Z 2022-06-01T15:45:40Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10400.5/24459 |
url |
http://hdl.handle.net/10400.5/24459 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Rodríguez-Martínez, Eugenio V., Rui M.R. Cardoso and Alfredo D. Egídio dos Reis. (2015). "Some advances on the Erlang (n) dual risk model." ASTIN Bulletin: The Journal of the IAA 45 (1): pp. 127-150. |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Cambridge School Press |
publisher.none.fl_str_mv |
Cambridge School Press |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
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Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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RCAAP |
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RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
collection |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository.name.fl_str_mv |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
repository.mail.fl_str_mv |
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1799131179445649408 |