Optimal bonus scales under path-dependent bonus rules
Main Author: | |
---|---|
Publication Date: | 2002 |
Other Authors: | |
Format: | Article |
Language: | eng |
Source: | Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) |
Download full: | http://hdl.handle.net/10400.5/27613 |
Summary: | Bonus malus systems have been studied by several authors under the framework of Markov chains. Optimal scales have been deduced by Norberg (1976), Borgan, Hoem & Norberg (1981) and Gilde & Sundt (1989). In these articles the authors assumed that the bonus system forms a first order Markov chain. In the present paper we deduce the optimal scales, using the same criteria as in the cited papers, for bonus systems that are not first order Markovian processes, but that can be regarded as Markovian by increasing the number of states of the system. |
id |
RCAP_f997a88c34675f741a85656a378ab7c6 |
---|---|
oai_identifier_str |
oai:repositorio.ulisboa.pt:10400.5/27613 |
network_acronym_str |
RCAP |
network_name_str |
Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) |
repository_id_str |
https://opendoar.ac.uk/repository/7160 |
spelling |
Optimal bonus scales under path-dependent bonus rulesBonus SystemsMarkov ChainsBonus ScalesBonus malus systems have been studied by several authors under the framework of Markov chains. Optimal scales have been deduced by Norberg (1976), Borgan, Hoem & Norberg (1981) and Gilde & Sundt (1989). In these articles the authors assumed that the bonus system forms a first order Markov chain. In the present paper we deduce the optimal scales, using the same criteria as in the cited papers, for bonus systems that are not first order Markovian processes, but that can be regarded as Markovian by increasing the number of states of the system.Taylor & Francis GroupRepositório da Universidade de LisboaCenteno, Maria de LourdesSilva, João Andrade e2023-04-11T18:04:21Z20022002-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.5/27613engCenteno, Maria de Lourdes and João Andrade e Silva .(2002). “Optimal bonus scales under path-dependent bonus rules” . Scandinavian Actuarial Journal, Vol. 2: pp. 129-136. (Search PDF in 2023).1651-2030 (Online)10.1080/03461230110106264info:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2025-03-17T16:20:44Zoai:repositorio.ulisboa.pt:10400.5/27613Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-29T04:10:52.214490Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse |
dc.title.none.fl_str_mv |
Optimal bonus scales under path-dependent bonus rules |
title |
Optimal bonus scales under path-dependent bonus rules |
spellingShingle |
Optimal bonus scales under path-dependent bonus rules Centeno, Maria de Lourdes Bonus Systems Markov Chains Bonus Scales |
title_short |
Optimal bonus scales under path-dependent bonus rules |
title_full |
Optimal bonus scales under path-dependent bonus rules |
title_fullStr |
Optimal bonus scales under path-dependent bonus rules |
title_full_unstemmed |
Optimal bonus scales under path-dependent bonus rules |
title_sort |
Optimal bonus scales under path-dependent bonus rules |
author |
Centeno, Maria de Lourdes |
author_facet |
Centeno, Maria de Lourdes Silva, João Andrade e |
author_role |
author |
author2 |
Silva, João Andrade e |
author2_role |
author |
dc.contributor.none.fl_str_mv |
Repositório da Universidade de Lisboa |
dc.contributor.author.fl_str_mv |
Centeno, Maria de Lourdes Silva, João Andrade e |
dc.subject.por.fl_str_mv |
Bonus Systems Markov Chains Bonus Scales |
topic |
Bonus Systems Markov Chains Bonus Scales |
description |
Bonus malus systems have been studied by several authors under the framework of Markov chains. Optimal scales have been deduced by Norberg (1976), Borgan, Hoem & Norberg (1981) and Gilde & Sundt (1989). In these articles the authors assumed that the bonus system forms a first order Markov chain. In the present paper we deduce the optimal scales, using the same criteria as in the cited papers, for bonus systems that are not first order Markovian processes, but that can be regarded as Markovian by increasing the number of states of the system. |
publishDate |
2002 |
dc.date.none.fl_str_mv |
2002 2002-01-01T00:00:00Z 2023-04-11T18:04:21Z |
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/10400.5/27613 |
url |
http://hdl.handle.net/10400.5/27613 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Centeno, Maria de Lourdes and João Andrade e Silva .(2002). “Optimal bonus scales under path-dependent bonus rules” . Scandinavian Actuarial Journal, Vol. 2: pp. 129-136. (Search PDF in 2023). 1651-2030 (Online) 10.1080/03461230110106264 |
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 |
Taylor & Francis Group |
publisher.none.fl_str_mv |
Taylor & Francis Group |
dc.source.none.fl_str_mv |
reponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia instacron:RCAAP |
instname_str |
FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia |
instacron_str |
RCAAP |
institution |
RCAAP |
reponame_str |
Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) |
collection |
Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) |
repository.name.fl_str_mv |
Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia |
repository.mail.fl_str_mv |
info@rcaap.pt |
_version_ |
1833601970863079424 |