Please use this identifier to cite or link to this item: http://hdl.handle.net/2445/148851
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dc.contributor.advisorSarrasí Vizcarra, Francisco Javier-
dc.contributor.advisorBoj del Val, Eva-
dc.contributor.authorÚbeda Inés, Pau-
dc.date.accessioned2020-01-28T19:04:43Z-
dc.date.available2020-01-28T19:04:43Z-
dc.date.issued2020-
dc.identifier.urihttp://hdl.handle.net/2445/148851-
dc.descriptionTreballs Finals del Màster de Ciències Actuarials i Financeres, Facultat d'Economia i Empresa, Universitat de Barcelona, Curs: 2019-2020, Tutor: Francisco Javier Sarrasí Vizcarra, Eva Boj del Valca
dc.description.abstractUsing RBNS (Reported But Not Settled) claims data from an accident business portfolio with 11 accident years and 5 development years, this paper conducts a case study that attempts to establish a comparison of the goodness of fit of Chain Ladder and Generalised Linear Mixed Models made with their mean squared errors once outstanding claim payments are estimated with R software and, afterwards, show a pricing strategy for a quota share, excess and at-the-money adverse development cover (ADC) types of finite risk reinsurance contract. In this thesis, finite risk treaties are disclosed putting the focus on LPT and ADC transactions.ca
dc.format.extent64 p.-
dc.format.mimetypeapplication/pdf-
dc.language.isoengca
dc.rightscc-by-nc-nd (c) Úbeda Inés, 2020-
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/*
dc.sourceMàster Oficial - Ciències Actuarials i Financeres (CAF)-
dc.subject.classificationReassegurancescat
dc.subject.classificationGestió del risccat
dc.subject.classificationTarifescat
dc.subject.classificationTreballs de fi de màstercat
dc.subject.otherReinsuranceeng
dc.subject.otherRisk managementeng
dc.subject.otherTariffeng
dc.subject.otherMaster's theseseng
dc.titleModelling a Pricing Strategy for ADC Finite Risk Reinsurance Treaties with GLMM Approachca
dc.typeinfo:eu-repo/semantics/masterThesisca
dc.rights.accessRightsinfo:eu-repo/semantics/openAccessca
Appears in Collections:Màster Oficial - Ciències Actuarials i Financeres (CAF)

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