Liability-driven investment strategy - sensitivity analysis of a UK pension scheme
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Data de Publicação: | 2021 |
Tipo de documento: | Dissertação |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10362/111325 |
Resumo: | Dissertation presented as the partial requirement for obtaining a Master's degree in Statistics and Information Management, specialization in Risk Analysis and Management |
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Liability-driven investment strategy - sensitivity analysis of a UK pension schemeLiability-Driven InvestmentLiability Benchmark PortfolioUnited Kingdom pension schemesDefined-benefit pension schemeDissertation presented as the partial requirement for obtaining a Master's degree in Statistics and Information Management, specialization in Risk Analysis and ManagementPension schemes and hedging strategies are constantly being subject to research throughout the years. However, to the best of our knowledge, there is no literature that studies how changing actuarial assumptions affects the hedging position of the schemes. Therefore, the objective of this study is to analyze the hedging sensitivity to demographic and economic assumptions used on the Actuarial Valuation and, consequently, contribute to an unexplored topic. This research will be directly focused in a dummy UK pension scheme for the liabilities calculations while the asset portfolio was constructed using a duration and convexity matching strategy, where the scheme’s asset allocation is built with the main goal being that its sensitivity to interest and inflation rates changes is matched with the corresponding scheme’s liabilities sensitivity. To calculate the liabilities sensitivity of a pension scheme, it is derived a Liability Benchmark Portfolio. However, not only interest and inflation rates shifts represent a risk for the pension scheme. All the assumptions used to derive the Liability Benchmark Portfolio will also be a risk that will not be hedged in the immunization strategy. The assumptions that were analyzed throughout this research are the following: mortality table, rate of improvement, spouse’s age, discount basis, inflation rate and the wedge between CPI and RPI. This dissertation therefore tests how changing assumptions impacts the hedging strategy of the scheme and the respective consequences in the final designed asset portfolio.Bravo, Jorge Miguel VenturaRUNTavares, Daniela da Costa2021-02-05T12:44:22Z2021-01-072021-01-07T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10362/111325TID:202612120enginfo: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:RCAAP2024-03-11T04:55:10Zoai:run.unl.pt:10362/111325Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:41:52.682030Repositório 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 |
Liability-driven investment strategy - sensitivity analysis of a UK pension scheme |
title |
Liability-driven investment strategy - sensitivity analysis of a UK pension scheme |
spellingShingle |
Liability-driven investment strategy - sensitivity analysis of a UK pension scheme Tavares, Daniela da Costa Liability-Driven Investment Liability Benchmark Portfolio United Kingdom pension schemes Defined-benefit pension scheme |
title_short |
Liability-driven investment strategy - sensitivity analysis of a UK pension scheme |
title_full |
Liability-driven investment strategy - sensitivity analysis of a UK pension scheme |
title_fullStr |
Liability-driven investment strategy - sensitivity analysis of a UK pension scheme |
title_full_unstemmed |
Liability-driven investment strategy - sensitivity analysis of a UK pension scheme |
title_sort |
Liability-driven investment strategy - sensitivity analysis of a UK pension scheme |
author |
Tavares, Daniela da Costa |
author_facet |
Tavares, Daniela da Costa |
author_role |
author |
dc.contributor.none.fl_str_mv |
Bravo, Jorge Miguel Ventura RUN |
dc.contributor.author.fl_str_mv |
Tavares, Daniela da Costa |
dc.subject.por.fl_str_mv |
Liability-Driven Investment Liability Benchmark Portfolio United Kingdom pension schemes Defined-benefit pension scheme |
topic |
Liability-Driven Investment Liability Benchmark Portfolio United Kingdom pension schemes Defined-benefit pension scheme |
description |
Dissertation presented as the partial requirement for obtaining a Master's degree in Statistics and Information Management, specialization in Risk Analysis and Management |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021-02-05T12:44:22Z 2021-01-07 2021-01-07T00:00:00Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/masterThesis |
format |
masterThesis |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10362/111325 TID:202612120 |
url |
http://hdl.handle.net/10362/111325 |
identifier_str_mv |
TID:202612120 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
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.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 |
instname_str |
Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
instacron_str |
RCAAP |
institution |
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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1799138031604596736 |