The Application of Bühlmann‑Straub Model with Data Correction for the Estimation of Net Premium Rates in Bonus‑Malus Systems of the Motor Third Liability Insurance

Authors

  • Anna Edyta Szymańska University of Łódź, Faculty of Economics and Sociology, Department of Insurance

DOI:

https://doi.org/10.18778/0208-6018.336.01

Keywords:

credibility theory, Bühlmann‑Straub model, bonus‑malus system, net premiums rates, motor third liability insurance

Abstract

One of the elements used in the process of tariff calculation of premiums in motor liability insurance is a bonus‑malus system. This systems takes into account the “claims ratio” by means of increases and discounts of the base premium called net premium rates. The aim of this work is to propose an estimation method of the net premium rates in the bonus‑malus classes of the motor third‑party liability insurance portfolio of individuals. The Bühlmann‑Straub model was used for the premium estimation. In order to improve the credibility of the estimated premium rates, a data correction in the classes with premium increase was preformed. An example of the application of the new method is presented based on the data obtained from one of the insurance companies operating on the Polish market, which has reserved the right to stay anonymous.

Downloads

Download data is not yet available.

References

Antonio K., Valdez E. (2012), Statistical concepts of a priori and a posteriori classification in insurance, “AStA Adv Stat Anal”, vol. 96, pp. 187–224.
Google Scholar

Bühlmann H. (1967), Experience Rating and Credibility, “ASTIN Bulletin”, vol. 4(3), pp. 199–207.
Google Scholar

Bühlmann H., Straub E. (1970), Glaubwürdigkeit für Schadensätze, “Mitteilungen der Vereiningung scheizerischer Vesicherungsmathematiker”, p. 111–133.
Google Scholar

Daykin C.D., Pentikäinen T., Pesonen M. (1994), Practical Risk Theory for Actuaries, Chapman & Hall, London.
Google Scholar

Denuit M., Marechal X., Pitrebois S., Walhin J.F. (2007), Actuarial Modelling of Claim Counts. Risk classification, Credability and Bonus‑Malus Systems, J. Wiley & Sons, Chichester.
Google Scholar

Jasiulewicz H. (2005), Teoria zaufania. Modele aktuarialne, Wydawnictwo Akademii Ekonomicznej im. Oskara Langego we Wrocławiu, Wrocław.
Google Scholar

Kaas R., Goovaerts M., Dhaene J., Denuit M. (2001), Modern Actuarial Risk Theory, Kluwer, Boston.
Google Scholar

Kowalczyk P., Poprawska E., Ronka‑Chmielowiec W. (2006), Metody aktuarialne, Wydawnictwo Naukowe PWN, Warszawa.
Google Scholar

Krzyśko M. (1996), Statystyka matematyczna, Wydawnictwo Naukowe UAM, Poznań.
Google Scholar

Lemaire J. (1995), Bonus‑Malus Systems in Automobile Insurance, Kluwer, Boston.
Google Scholar

Ostasiewicz W. (red.), (2000), Modele aktuarialne, Wydawnictwo Akademii Ekonomicznej im. Oskara Langego we Wrocławiu, Wrocław.
Google Scholar

Raport o stanie sektora ubezpieczeń po III kwartale 2015 r., Komisja Nadzoru Finansowego, Warszawa 2016 r., www.knf.gov [dostęp: 5.10.2016].
Google Scholar

Szymańska A. (2014), Statystyczna analiza systemów bonus‑malus w ubezpieczeniach komunikacyjnych, Wydawnictwo Uniwersytetu Łódzkiego, Łódź.
Google Scholar

Downloads

Published

2018-09-04

How to Cite

Szymańska, A. E. (2018). The Application of Bühlmann‑Straub Model with Data Correction for the Estimation of Net Premium Rates in Bonus‑Malus Systems of the Motor Third Liability Insurance. Acta Universitatis Lodziensis. Folia Oeconomica, 4(336), 7–22. https://doi.org/10.18778/0208-6018.336.01

Issue

Section

Articles