Ruin probabilities and capital requirement for open automobile portfolios with a bonus-malus system based on claim counts
Autor(a) principal: | |
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Data de Publicação: | 2020 |
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/10400.5/24442 |
Resumo: | For a large motor insurance portfolio, on an open environment, we study the impact of experience rating in finite and continuous time ruin probabilities. We consider a model for calculating ruin probabilities applicable to large portfolios with a Markovian Bonus‐Malus System (BMS), based on claim counts, for an automobile portfolio using the classical risk framework model. New challenges are brought when an open portfolio scenario is introduced. When compared with a classical BMS approach ruin probabilities may change significantly. By using a BMS of a Portuguese insurer, we illustrate and discuss the impact of the proposed formulation on the initial surplus required to target a given ruin probability. Under an open portfolio setup, we show that we may have a significant impact on capital requirements when compared with the classical BMS, by having a significant reduction on the initial surplus needed to maintain a fixed level of the ruin probability |
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Ruin probabilities and capital requirement for open automobile portfolios with a bonus-malus system based on claim countsMotor Insurance PortfolioMarkovian Bonus Malus - System (BMS)Ruin ProbabilitiesModelFor a large motor insurance portfolio, on an open environment, we study the impact of experience rating in finite and continuous time ruin probabilities. We consider a model for calculating ruin probabilities applicable to large portfolios with a Markovian Bonus‐Malus System (BMS), based on claim counts, for an automobile portfolio using the classical risk framework model. New challenges are brought when an open portfolio scenario is introduced. When compared with a classical BMS approach ruin probabilities may change significantly. By using a BMS of a Portuguese insurer, we illustrate and discuss the impact of the proposed formulation on the initial surplus required to target a given ruin probability. Under an open portfolio setup, we show that we may have a significant impact on capital requirements when compared with the classical BMS, by having a significant reduction on the initial surplus needed to maintain a fixed level of the ruin probabilityAmerican Risk and Insurance AssociationRepositório da Universidade de LisboaAfonso, Lourdes B.Cardoso, Rui M. R.Reis, Alfredo D. Egídio dosGuerreiro, Gracinda R.2022-05-31T18:58:49Z20202020-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.5/24442engAfonso, Lourdes B. … [et al.]. (2020). "Ruin probabilities and capital requirement for open automobile portfolios with a bonus-malus system based on claim counts", Journal of Risk and Insurance, Vol. 87, No. 2: pp. 501–522.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:RCAAP2023-03-06T14:54:05Zoai:www.repository.utl.pt:10400.5/24442Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T17:08:29.318206Repositório 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 |
Ruin probabilities and capital requirement for open automobile portfolios with a bonus-malus system based on claim counts |
title |
Ruin probabilities and capital requirement for open automobile portfolios with a bonus-malus system based on claim counts |
spellingShingle |
Ruin probabilities and capital requirement for open automobile portfolios with a bonus-malus system based on claim counts Afonso, Lourdes B. Motor Insurance Portfolio Markovian Bonus Malus - System (BMS) Ruin Probabilities Model |
title_short |
Ruin probabilities and capital requirement for open automobile portfolios with a bonus-malus system based on claim counts |
title_full |
Ruin probabilities and capital requirement for open automobile portfolios with a bonus-malus system based on claim counts |
title_fullStr |
Ruin probabilities and capital requirement for open automobile portfolios with a bonus-malus system based on claim counts |
title_full_unstemmed |
Ruin probabilities and capital requirement for open automobile portfolios with a bonus-malus system based on claim counts |
title_sort |
Ruin probabilities and capital requirement for open automobile portfolios with a bonus-malus system based on claim counts |
author |
Afonso, Lourdes B. |
author_facet |
Afonso, Lourdes B. Cardoso, Rui M. R. Reis, Alfredo D. Egídio dos Guerreiro, Gracinda R. |
author_role |
author |
author2 |
Cardoso, Rui M. R. Reis, Alfredo D. Egídio dos Guerreiro, Gracinda R. |
author2_role |
author author author |
dc.contributor.none.fl_str_mv |
Repositório da Universidade de Lisboa |
dc.contributor.author.fl_str_mv |
Afonso, Lourdes B. Cardoso, Rui M. R. Reis, Alfredo D. Egídio dos Guerreiro, Gracinda R. |
dc.subject.por.fl_str_mv |
Motor Insurance Portfolio Markovian Bonus Malus - System (BMS) Ruin Probabilities Model |
topic |
Motor Insurance Portfolio Markovian Bonus Malus - System (BMS) Ruin Probabilities Model |
description |
For a large motor insurance portfolio, on an open environment, we study the impact of experience rating in finite and continuous time ruin probabilities. We consider a model for calculating ruin probabilities applicable to large portfolios with a Markovian Bonus‐Malus System (BMS), based on claim counts, for an automobile portfolio using the classical risk framework model. New challenges are brought when an open portfolio scenario is introduced. When compared with a classical BMS approach ruin probabilities may change significantly. By using a BMS of a Portuguese insurer, we illustrate and discuss the impact of the proposed formulation on the initial surplus required to target a given ruin probability. Under an open portfolio setup, we show that we may have a significant impact on capital requirements when compared with the classical BMS, by having a significant reduction on the initial surplus needed to maintain a fixed level of the ruin probability |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020 2020-01-01T00:00:00Z 2022-05-31T18:58:49Z |
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/10400.5/24442 |
url |
http://hdl.handle.net/10400.5/24442 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Afonso, Lourdes B. … [et al.]. (2020). "Ruin probabilities and capital requirement for open automobile portfolios with a bonus-malus system based on claim counts", Journal of Risk and Insurance, Vol. 87, No. 2: pp. 501–522. |
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 |
American Risk and Insurance Association |
publisher.none.fl_str_mv |
American Risk and Insurance Association |
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) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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1799131178630905856 |