A Comparison of Several Bonus Malus Systems

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14560%2F15%3A00089166" target="_blank" >RIV/00216224:14560/15:00089166 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.1016/S2212-5671(15)00918-1" target="_blank" >http://dx.doi.org/10.1016/S2212-5671(15)00918-1</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/S2212-5671(15)00918-1" target="_blank" >10.1016/S2212-5671(15)00918-1</a>

Jazyk výsledku

angličtina

Název v původním jazyce

A Comparison of Several Bonus Malus Systems

Popis výsledku v původním jazyce

The paper deals with the automobile third party liability insurance and several bonus malus system are compared in it on the basis of Loimaranta efficiency. Very important task for actuary is creating rating system that will fairly distributed the burden of claims among policyholders. For these purposes, most insurance companies use generalized linear models, especially Poisson regression. Thanks to these models the a priori tariff structure is created. But some heterogeneity still remains in this tariff structure. Therefore, insurance companies use the bonus malus system that rewards good drivers and penalizes bad drivers. In this paper the bonus malus system for sample of data is created and bayesian relativities are computed. Then this bonus malus system is compared with several bonus malus systems from Czech Republic. The elasticity of these bonus malus systems is examined and then Loimaranta efficiency is used as main tool for comparison these systems.

Název v anglickém jazyce

A Comparison of Several Bonus Malus Systems

Popis výsledku anglicky

The paper deals with the automobile third party liability insurance and several bonus malus system are compared in it on the basis of Loimaranta efficiency. Very important task for actuary is creating rating system that will fairly distributed the burden of claims among policyholders. For these purposes, most insurance companies use generalized linear models, especially Poisson regression. Thanks to these models the a priori tariff structure is created. But some heterogeneity still remains in this tariff structure. Therefore, insurance companies use the bonus malus system that rewards good drivers and penalizes bad drivers. In this paper the bonus malus system for sample of data is created and bayesian relativities are computed. Then this bonus malus system is compared with several bonus malus systems from Czech Republic. The elasticity of these bonus malus systems is examined and then Loimaranta efficiency is used as main tool for comparison these systems.

Druh

D - Stať ve sborníku

CEP obor

AE - Řízení, správa a administrativa

OECD FORD obor

—

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2015

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Procedia Economics and Finance

ISBN

—

ISSN

2212-5671

e-ISSN

—

Počet stran výsledku

6

Strana od-do

188-193

Název nakladatele

Elsevier B.V.

Místo vydání

Amsterdam

Místo konání akce

Izmir

Datum konání akce

1. 1. 2015

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000381990300029