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...
Main Author: | |
---|---|
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 |
id |
ndltd-UPSALLA1-oai-DiVA.org-mdh-39911 |
---|---|
record_format |
oai_dc |
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 |
_version_ |
1718708610960195584 |