Estimating Claim Size and Probability in the Auto-insurance Industry: the Zero-adjusted Inverse Gaussian (ZAIG) Distribution

dc.contributor.authorADRIANA BRUSCATO BORTOLUZZO
dc.contributor.authorDANNY PIMENTEL CLARO
dc.contributor.authorCaetano, Marco Antonio Leonel
dc.contributor.authorRINALDO ARTES
dc.coverage.cidadeSão Paulopt_BR
dc.coverage.paisBrasilpt_BR
dc.creatorCaetano, Marco Antonio Leonel
dc.date.accessioned2023-07-13T20:40:12Z
dc.date.available2023-07-13T20:40:12Z
dc.date.issued2009
dc.description.abstractThis article aims at the estimation of insurance claims from an auto data set. Using a ZAIG method, we identify factors that influence claim size and probability, and compared the results with the analysis of a Tweedie method. Results show that ZAIG can accurately predict claim size and probability. Factors like territory, vehicles´ advanced age, origin and body influence distinctly claim size and probability. The distinct impact is not always present in Tweedie’s estimated model. Auto insurers should consider estimating risk premium using ZAIG method. The fitted models may be useful to develop a strategy for premium pricing.
dc.description.otherThis article aims at the estimation of insurance claims from an auto data set. Using a ZAIG method, we identify factors that influence claim size and probability, and compared the results with the analysis of a Tweedie method. Results show that ZAIG can accurately predict claim size and probability. Factors like territory, vehicles´ advanced age, origin and body influence distinctly claim size and probability. The distinct impact is not always present in Tweedie’s estimated model. Auto insurers should consider estimating risk premium using ZAIG method. The fitted models may be useful to develop a strategy for premium pricing.pt_BR
dc.format.extent17 p.pt_BR
dc.format.mediumDigitalpt_BR
dc.identifier.issueBEWP 056/2009
dc.identifier.urihttps://repositorio.insper.edu.br/handle/11224/5759
dc.language.isoInglêspt_BR
dc.publisherInsperpt_BR
dc.publisherIBMEC São Paulopt_BR
dc.relation.ispartofseriesInsper Working Paperpt_BR
dc.rights.licenseO INSPER E ESTE REPOSITÓRIO NÃO DETÊM OS DIREITOS DE USO E REPRODUÇÃO DOS CONTEÚDOS AQUI REGISTRADOS. É RESPONSABILIDADE DO USUÁRIO VERIFICAR OS USOS PERMITIDOS NA FONTE ORIGINAL, RESPEITANDO-SE OS DIREITOS DE AUTOR OU EDITORpt_BR
dc.subject.keywordsZAIG methodpt_BR
dc.subject.keywordsTweedie methodpt_BR
dc.subject.keywordsPremium pricingpt_BR
dc.subject.keywordsInsurancept_BR
dc.titleEstimating Claim Size and Probability in the Auto-insurance Industry: the Zero-adjusted Inverse Gaussian (ZAIG) Distributionpt_BR
dc.typeworking paper
dspace.entity.typePublication
local.subject.cnpqCiências Exatas e da Terrapt_BR
local.typeWorking Paperpt_BR
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relation.isAuthorOfPublication4d0421e0-4cc8-4fb3-846a-581a48c752f5
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relation.isAuthorOfPublication.latestForDiscovery4d0421e0-4cc8-4fb3-846a-581a48c752f5

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