Hedging the longevity risk for the portuguese population in the bond market

Detalhes bibliográficos
Autor(a) principal: Carlos, Rúben Pereira
Data de Publicação: 2012
Outros Autores: Simões, Onofre Alves
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10400.5/10091
Resumo: Increases in life expectancy have been noticeable in recent decades and this is one of the key issues to the annuities industry and to the public pensions system. To address the problem of hedging the longevity risk, several instruments have been discussed within the financial markets in order to find a solution. Many stochastic models have been suggested to fit the evolution of the mortality curve as close as possible, so that these financial instruments can be issued on a solid basis. In this paper, we discuss and simulate the issue of two longevity bonds with cash flows linked to the evolution of a survival index, built on the Portuguese mortality data. The forecast of mortality rates is per- formed using a two-factor stochastic model, the Cairns-Blake-Dowd (CBD) model. The main objective is to develop a hedging solution to the increases in human longevity in Portugal.
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spelling Hedging the longevity risk for the portuguese population in the bond marketLongevitySurvivor bondsStochastic mortality modelsIncreases in life expectancy have been noticeable in recent decades and this is one of the key issues to the annuities industry and to the public pensions system. To address the problem of hedging the longevity risk, several instruments have been discussed within the financial markets in order to find a solution. Many stochastic models have been suggested to fit the evolution of the mortality curve as close as possible, so that these financial instruments can be issued on a solid basis. In this paper, we discuss and simulate the issue of two longevity bonds with cash flows linked to the evolution of a survival index, built on the Portuguese mortality data. The forecast of mortality rates is per- formed using a two-factor stochastic model, the Cairns-Blake-Dowd (CBD) model. The main objective is to develop a hedging solution to the increases in human longevity in Portugal.Instituto Superior de Economia e GestãoRepositório da Universidade de LisboaCarlos, Rúben PereiraSimões, Onofre Alves2015-11-09T10:01:18Z20122012-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.5/10091engCarlos, Rúben Pereira e Onofre Alves Simões (2012). "Hedging the longevity risk for the portuguese population in the bond market". Portuguese Journal of Management Studies, XVII(1):63-82info: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:RCAAP2023-03-06T14:40:27Zoai:www.repository.utl.pt:10400.5/10091Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T16:56:36.210457Repositório 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 Hedging the longevity risk for the portuguese population in the bond market
title Hedging the longevity risk for the portuguese population in the bond market
spellingShingle Hedging the longevity risk for the portuguese population in the bond market
Carlos, Rúben Pereira
Longevity
Survivor bonds
Stochastic mortality models
title_short Hedging the longevity risk for the portuguese population in the bond market
title_full Hedging the longevity risk for the portuguese population in the bond market
title_fullStr Hedging the longevity risk for the portuguese population in the bond market
title_full_unstemmed Hedging the longevity risk for the portuguese population in the bond market
title_sort Hedging the longevity risk for the portuguese population in the bond market
author Carlos, Rúben Pereira
author_facet Carlos, Rúben Pereira
Simões, Onofre Alves
author_role author
author2 Simões, Onofre Alves
author2_role author
dc.contributor.none.fl_str_mv Repositório da Universidade de Lisboa
dc.contributor.author.fl_str_mv Carlos, Rúben Pereira
Simões, Onofre Alves
dc.subject.por.fl_str_mv Longevity
Survivor bonds
Stochastic mortality models
topic Longevity
Survivor bonds
Stochastic mortality models
description Increases in life expectancy have been noticeable in recent decades and this is one of the key issues to the annuities industry and to the public pensions system. To address the problem of hedging the longevity risk, several instruments have been discussed within the financial markets in order to find a solution. Many stochastic models have been suggested to fit the evolution of the mortality curve as close as possible, so that these financial instruments can be issued on a solid basis. In this paper, we discuss and simulate the issue of two longevity bonds with cash flows linked to the evolution of a survival index, built on the Portuguese mortality data. The forecast of mortality rates is per- formed using a two-factor stochastic model, the Cairns-Blake-Dowd (CBD) model. The main objective is to develop a hedging solution to the increases in human longevity in Portugal.
publishDate 2012
dc.date.none.fl_str_mv 2012
2012-01-01T00:00:00Z
2015-11-09T10:01:18Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
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status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10400.5/10091
url http://hdl.handle.net/10400.5/10091
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Carlos, Rúben Pereira e Onofre Alves Simões (2012). "Hedging the longevity risk for the portuguese population in the bond market". Portuguese Journal of Management Studies, XVII(1):63-82
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
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dc.publisher.none.fl_str_mv Instituto Superior de Economia e Gestão
publisher.none.fl_str_mv Instituto Superior de Economia e Gestão
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