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Bonus-malus Systems as Markov Set-chains

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  • Niemiec, MaÅ‚gorzata

Abstract

The objective of this paper is to present an analysis of a bonus-malus system (BMS) within the framework of the theory of ergodic Markov set-chains. It is shown that this type of Markov chains enables the evaluation of BMS, even in steady-state, under the assumption that transition probabilities change in a definite range. We introduce a model that allows the determination of the consequences of changes in the claim frequency of a policyholder. In a numerical example we examine the BMS employed by one of the Polish insurance companies.

Suggested Citation

  • Niemiec, MaÅ‚gorzata, 2007. "Bonus-malus Systems as Markov Set-chains," ASTIN Bulletin, Cambridge University Press, vol. 37(1), pages 53-65, May.
  • Handle: RePEc:cup:astinb:v:37:y:2007:i:01:p:53-65_01
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    Cited by:

    1. Pablo J. Villacorta & Laura González-Vila Puchades & Jorge de Andrés-Sánchez, 2021. "Fuzzy Markovian Bonus-Malus Systems in Non-Life Insurance," Mathematics, MDPI, vol. 9(4), pages 1-23, February.
    2. Anna Szymańska, 2015. "Impact of the number of classes and transition rules of bonus-malus system on its efficiency in tariff setting," Collegium of Economic Analysis Annals, Warsaw School of Economics, Collegium of Economic Analysis, issue 37, pages 253-268.
    3. Dhiti Osatakul & Xueyuan Wu, 2021. "Discrete-Time Risk Models with Claim Correlated Premiums in a Markovian Environment," Risks, MDPI, vol. 9(1), pages 1-23, January.

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