Comparison of prices of life insurances using different mortality rates models

Capturing mortality became a crucial modelling problem throughout the years due to the raising demand of life insurances and annuities. Fitting three models, namely, logistic, Heligman– Pollard HP4 and power–exponential model, to real life data shows that latter two models represent the actual data...

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Main Author: Straß, Belinda
Format: Others
Language:English
Published: Mälardalens högskola, Akademin för utbildning, kultur och kommunikation 2018
Subjects:
Online Access:http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-39911
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spelling ndltd-UPSALLA1-oai-DiVA.org-mdh-399112018-06-29T05:17:21ZComparison of prices of life insurances using different mortality rates modelsengStraß, BelindaMälardalens högskola, Akademin för utbildning, kultur och kommunikation2018Pricing life insurancesmodelling mortality ratelogistic modelHeligmann– Pollard HP4power–exponential modelMathematicsMatematikCapturing mortality became a crucial modelling problem throughout the years due to the raising demand of life insurances and annuities. Fitting three models, namely, logistic, Heligman– Pollard HP4 and power–exponential model, to real life data shows that latter two models represent the actual data quite well. Pricing a term life insurance and a whole life annuity, implemented using the MATLAB software, based on these models ends in the result that the Heligmann–Pollard HP4 model is the less preferable model, in perspective of an insured, than the logistic or power–exponential ones. Student thesisinfo:eu-repo/semantics/bachelorThesistexthttp://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-39911application/pdfinfo:eu-repo/semantics/openAccess
collection NDLTD
language English
format Others
sources NDLTD
topic Pricing life insurances
modelling mortality rate
logistic model
Heligmann– Pollard HP4
power–exponential model
Mathematics
Matematik
spellingShingle Pricing life insurances
modelling mortality rate
logistic model
Heligmann– Pollard HP4
power–exponential model
Mathematics
Matematik
Straß, Belinda
Comparison of prices of life insurances using different mortality rates models
description Capturing mortality became a crucial modelling problem throughout the years due to the raising demand of life insurances and annuities. Fitting three models, namely, logistic, Heligman– Pollard HP4 and power–exponential model, to real life data shows that latter two models represent the actual data quite well. Pricing a term life insurance and a whole life annuity, implemented using the MATLAB software, based on these models ends in the result that the Heligmann–Pollard HP4 model is the less preferable model, in perspective of an insured, than the logistic or power–exponential ones.
author Straß, Belinda
author_facet Straß, Belinda
author_sort Straß, Belinda
title Comparison of prices of life insurances using different mortality rates models
title_short Comparison of prices of life insurances using different mortality rates models
title_full Comparison of prices of life insurances using different mortality rates models
title_fullStr Comparison of prices of life insurances using different mortality rates models
title_full_unstemmed Comparison of prices of life insurances using different mortality rates models
title_sort comparison of prices of life insurances using different mortality rates models
publisher Mälardalens högskola, Akademin för utbildning, kultur och kommunikation
publishDate 2018
url http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-39911
work_keys_str_mv AT straßbelinda comparisonofpricesoflifeinsurancesusingdifferentmortalityratesmodels
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