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Minimizing ruin probability - an optimal reinsurance problem using a dynamical setting including dependences

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Resumo:Reinsurance is one of the key risk management tools used by insurance companies to spread risk and receive financial protection against large losses. This comes at the price of the reinsurance premium which reduces the insurer’s profits in exchange for safety. This thesis focuses on analytically finding the optimal retention levels under three different excess of loss contracts, with the purpose of minimizing the ruin probability in infinite time and from the point of view of the insurance company. The expected value premium principle is used for the calculation of both the insurer’s and reinsurer’s premiums. The same analysis is developed when considering two dependent classes of risk. A diffusion approximation of the classical Crámer-Lundberg risk process with reinsurance is considered. After building the model, the ruin probability function is characterized and conclusions regarding the optimal strategies are drawn. For the dependent case, the optimal strategy depends not only on the marginal distributions of the underlying risk, but also on the distribution of the sum of the claim severities. To better contextualize the analytical results, a numerical analysis is developed in each case, using the R software, considering different distributions and several values for its parameters. The analytical results show that, for some particular cases of the excess of loss treaty, it is always optimum to transfer part of the risk to the reinsurer; for other cases, the optimal strategy is to retain all the risk and, for the remaining cases, it depends on the distribution of the underlying risk. The numerical results corroborate the analytical ones. In particular, the optimal reinsurance strategy under dependences is different if the two classes of risk are considered independently.Reinsurance is one of the key risk management tools used by insurance companies to spread risk and receive financial protection against large losses. This comes at the price of the reinsurance premium which reduces the insurer’s profits in exchange for safety. This thesis focuses on analytically finding the optimal retention levels under three different excess of loss contracts, with the purpose of minimizing the ruin probability in infinite time and from the point of view of the insurance company. The expected value premium principle is used for the calculation of both the insurer’s and reinsurer’s premiums. The same analysis is developed when considering two dependent classes of risk. A diffusion approximation of the classical Crámer-Lundberg risk process with reinsurance is considered. After building the model, the ruin probability function is characterized and conclusions regarding the optimal strategies are drawn. For the dependent case, the optimal strategy depends not only on the marginal distributions of the underlying risk, but also on the distribution of the sum of the claim severities. To better contextualize the analytical results, a numerical analysis is developed in each case, using the R software, considering different distributions and several values for its parameters. The analytical results show that, for some particular cases of the excess of loss treaty, it is always optimum to transfer part of the risk to the reinsurer; for other cases, the optimal strategy is to retain all the risk and, for the remaining cases, it depends on the distribution of the underlying risk. The numerical results corroborate the analytical ones. In particular, the optimal reinsurance strategy under dependences is different if the two classes of risk are considered independently.
Autores principais:Botnariuc, Adrialina
Assunto:Ruin probability Excess of lossTreaty Expected value premium principle; Dependent risks
Ano:2022
País:Portugal
Tipo de documento:dissertação de mestrado
Tipo de acesso:acesso aberto
Instituição associada:Universidade de Lisboa
Idioma:inglês
Origem:Repositório da Universidade de Lisboa
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author Botnariuc, Adrialina
author_facet Botnariuc, Adrialina
author_role author
contributor_name_str_mv Moura, Alexandra
Oliveira, Carlos
Repositório Científico de Acesso Aberto da ULisboa
country_str PT
creators_json_txt [{\"Person.name\":\"Botnariuc, Adrialina\"}]
datacite.contributors.contributor.contributorName.fl_str_mv Moura, Alexandra
Oliveira, Carlos
Repositório Científico de Acesso Aberto da ULisboa
datacite.creators.creator.creatorName.fl_str_mv Botnariuc, Adrialina
datacite.date.Accepted.fl_str_mv 2022-10-01T00:00:00Z
datacite.date.available.fl_str_mv 2023-02-07T19:06:11Z
datacite.date.embargoed.fl_str_mv 2023-02-07T19:06:11Z
datacite.rights.fl_str_mv http://purl.org/coar/access_right/c_abf2
datacite.subjects.subject.fl_str_mv Ruin probability
Excess of lossTreaty
Expected value premium principle;
Dependent risks
datacite.titles.title.fl_str_mv Minimizing ruin probability - an optimal reinsurance problem using a dynamical setting including dependences
dc.contributor.none.fl_str_mv Moura, Alexandra
Oliveira, Carlos
Repositório Científico de Acesso Aberto da ULisboa
dc.creator.none.fl_str_mv Botnariuc, Adrialina
dc.date.Accepted.fl_str_mv 2022-10-01T00:00:00Z
dc.date.available.fl_str_mv 2023-02-07T19:06:11Z
dc.date.embargoed.fl_str_mv 2023-02-07T19:06:11Z
dc.format.none.fl_str_mv application/pdf
dc.identifier.none.fl_str_mv http://hdl.handle.net/10400.5/27174
dc.language.none.fl_str_mv eng
dc.publisher.none.fl_str_mv Instituto Superior de Economia e Gestão
dc.rights.none.fl_str_mv http://purl.org/coar/access_right/c_abf2
dc.subject.none.fl_str_mv Ruin probability
Excess of lossTreaty
Expected value premium principle;
Dependent risks
dc.title.fl_str_mv Minimizing ruin probability - an optimal reinsurance problem using a dynamical setting including dependences
dc.type.none.fl_str_mv http://purl.org/coar/resource_type/c_bdcc
description Reinsurance is one of the key risk management tools used by insurance companies to spread risk and receive financial protection against large losses. This comes at the price of the reinsurance premium which reduces the insurer’s profits in exchange for safety. This thesis focuses on analytically finding the optimal retention levels under three different excess of loss contracts, with the purpose of minimizing the ruin probability in infinite time and from the point of view of the insurance company. The expected value premium principle is used for the calculation of both the insurer’s and reinsurer’s premiums. The same analysis is developed when considering two dependent classes of risk. A diffusion approximation of the classical Crámer-Lundberg risk process with reinsurance is considered. After building the model, the ruin probability function is characterized and conclusions regarding the optimal strategies are drawn. For the dependent case, the optimal strategy depends not only on the marginal distributions of the underlying risk, but also on the distribution of the sum of the claim severities. To better contextualize the analytical results, a numerical analysis is developed in each case, using the R software, considering different distributions and several values for its parameters. The analytical results show that, for some particular cases of the excess of loss treaty, it is always optimum to transfer part of the risk to the reinsurer; for other cases, the optimal strategy is to retain all the risk and, for the remaining cases, it depends on the distribution of the underlying risk. The numerical results corroborate the analytical ones. In particular, the optimal reinsurance strategy under dependences is different if the two classes of risk are considered independently.Reinsurance is one of the key risk management tools used by insurance companies to spread risk and receive financial protection against large losses. This comes at the price of the reinsurance premium which reduces the insurer’s profits in exchange for safety. This thesis focuses on analytically finding the optimal retention levels under three different excess of loss contracts, with the purpose of minimizing the ruin probability in infinite time and from the point of view of the insurance company. The expected value premium principle is used for the calculation of both the insurer’s and reinsurer’s premiums. The same analysis is developed when considering two dependent classes of risk. A diffusion approximation of the classical Crámer-Lundberg risk process with reinsurance is considered. After building the model, the ruin probability function is characterized and conclusions regarding the optimal strategies are drawn. For the dependent case, the optimal strategy depends not only on the marginal distributions of the underlying risk, but also on the distribution of the sum of the claim severities. To better contextualize the analytical results, a numerical analysis is developed in each case, using the R software, considering different distributions and several values for its parameters. The analytical results show that, for some particular cases of the excess of loss treaty, it is always optimum to transfer part of the risk to the reinsurer; for other cases, the optimal strategy is to retain all the risk and, for the remaining cases, it depends on the distribution of the underlying risk. The numerical results corroborate the analytical ones. In particular, the optimal reinsurance strategy under dependences is different if the two classes of risk are considered independently.
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person_str_mv Botnariuc, Adrialina
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spelling engInstituto Superior de Economia e Gestãopt_PTReinsurance is one of the key risk management tools used by insurance companies to spread risk and receive financial protection against large losses. This comes at the price of the reinsurance premium which reduces the insurer’s profits in exchange for safety. This thesis focuses on analytically finding the optimal retention levels under three different excess of loss contracts, with the purpose of minimizing the ruin probability in infinite time and from the point of view of the insurance company. The expected value premium principle is used for the calculation of both the insurer’s and reinsurer’s premiums. The same analysis is developed when considering two dependent classes of risk. A diffusion approximation of the classical Crámer-Lundberg risk process with reinsurance is considered. After building the model, the ruin probability function is characterized and conclusions regarding the optimal strategies are drawn. For the dependent case, the optimal strategy depends not only on the marginal distributions of the underlying risk, but also on the distribution of the sum of the claim severities. To better contextualize the analytical results, a numerical analysis is developed in each case, using the R software, considering different distributions and several values for its parameters. The analytical results show that, for some particular cases of the excess of loss treaty, it is always optimum to transfer part of the risk to the reinsurer; for other cases, the optimal strategy is to retain all the risk and, for the remaining cases, it depends on the distribution of the underlying risk. The numerical results corroborate the analytical ones. In particular, the optimal reinsurance strategy under dependences is different if the two classes of risk are considered independently.Reinsurance is one of the key risk management tools used by insurance companies to spread risk and receive financial protection against large losses. This comes at the price of the reinsurance premium which reduces the insurer’s profits in exchange for safety. This thesis focuses on analytically finding the optimal retention levels under three different excess of loss contracts, with the purpose of minimizing the ruin probability in infinite time and from the point of view of the insurance company. The expected value premium principle is used for the calculation of both the insurer’s and reinsurer’s premiums. The same analysis is developed when considering two dependent classes of risk. A diffusion approximation of the classical Crámer-Lundberg risk process with reinsurance is considered. After building the model, the ruin probability function is characterized and conclusions regarding the optimal strategies are drawn. For the dependent case, the optimal strategy depends not only on the marginal distributions of the underlying risk, but also on the distribution of the sum of the claim severities. To better contextualize the analytical results, a numerical analysis is developed in each case, using the R software, considering different distributions and several values for its parameters. The analytical results show that, for some particular cases of the excess of loss treaty, it is always optimum to transfer part of the risk to the reinsurer; for other cases, the optimal strategy is to retain all the risk and, for the remaining cases, it depends on the distribution of the underlying risk. The numerical results corroborate the analytical ones. In particular, the optimal reinsurance strategy under dependences is different if the two classes of risk are considered independently.application/pdfpt_PTMinimizing ruin probability - an optimal reinsurance problem using a dynamical setting including dependencesBotnariuc, AdrialinaMoura, AlexandraOliveira, CarlosHostingInstitutionOrganizationalRepositório Científico de Acesso Aberto da ULisboae-mailmailto:repositorio@reitoria.ulisboa.ptrepositorio@reitoria.ulisboa.pt2023-02-07T19:06:11Z2022-102022-10-01T00:00:00ZHandlehttp://hdl.handle.net/10400.5/27174http://purl.org/coar/access_right/c_abf2open accessRuin probabilityExcess of lossTreatyExpected value premium principle;Dependent risks424760 bytesliteraturehttp://purl.org/coar/resource_type/c_bdccmaster thesishttp://purl.org/coar/access_right/c_abf2application/pdffulltexthttps://repositorio.ulisboa.pt/bitstreams/72b78291-24df-403a-98a9-897648f0f9f4/download
spellingShingle Minimizing ruin probability - an optimal reinsurance problem using a dynamical setting including dependences
Botnariuc, Adrialina
Ruin probability
Excess of lossTreaty
Expected value premium principle;
Dependent risks
status SINGLETON
subject.fl_str_mv Ruin probability
Excess of lossTreaty
Expected value premium principle;
Dependent risks
title Minimizing ruin probability - an optimal reinsurance problem using a dynamical setting including dependences
title_full Minimizing ruin probability - an optimal reinsurance problem using a dynamical setting including dependences
title_fullStr Minimizing ruin probability - an optimal reinsurance problem using a dynamical setting including dependences
title_full_unstemmed Minimizing ruin probability - an optimal reinsurance problem using a dynamical setting including dependences
title_short Minimizing ruin probability - an optimal reinsurance problem using a dynamical setting including dependences
title_sort Minimizing ruin probability - an optimal reinsurance problem using a dynamical setting including dependences
topic Ruin probability
Excess of lossTreaty
Expected value premium principle;
Dependent risks
topic_facet Ruin probability
Excess of lossTreaty
Expected value premium principle;
Dependent risks
url http://hdl.handle.net/10400.5/27174
visible 1