Adjusting the Premium Relativities in a Bonus-Malus System: An Integrated Approach Using the First Claim Time and the Number of Claims
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DOI: 10.1515/apjri-2016-0038
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- Frangos, Nicholas E. & Vrontos, Spyridon D., 2001. "Design of Optimal Bonus-Malus Systems With a Frequency and a Severity Component On an Individual Basis in Automobile Insurance," ASTIN Bulletin, Cambridge University Press, vol. 31(1), pages 1-22, May.
- Mahmoudvand, Rahim & Hassani, Hossein, 2009. "Generalized Bonus-Malus Systems with a Frequency and a Severity Component on an Individual Basis in Automobile Insurance," ASTIN Bulletin, Cambridge University Press, vol. 39(1), pages 307-315, May.
- de Lourdes Centeno, Maria & Manuel Andrade e Silva, Joao, 2001. "Bonus systems in an open portfolio," Insurance: Mathematics and Economics, Elsevier, vol. 28(3), pages 341-350, June.
- repec:cup:astinb:v:19:y:1989:i:02:p:199-212_00 is not listed on IDEAS
- Jean-Philippe Boucher & Michel Denuit & Montserrat Guillén, 2007. "Risk Classification for Claim Counts," North American Actuarial Journal, Taylor & Francis Journals, vol. 11(4), pages 110-131.
- Søren Asmussen, 2014. "Modeling and Performance of Bonus-Malus Systems: Stationarity versus Age-Correction," Risks, MDPI, vol. 2(1), pages 1-25, March.
- Pitrebois, Sandra & Denuit, Michel & Walhin, Jean-François, 2003. "Setting a Bonus-Malus Scale in the Presence of Other Rating Factors: Taylor's Work Revisited," ASTIN Bulletin, Cambridge University Press, vol. 33(2), pages 419-436, November.
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- Okura Mahito & Yoshizawa Takuya & Sakaki Motohiro, 2021. "An Evaluation of the New Japanese Bonus–Malus System with No-claim and Claimed Subclasses," Asia-Pacific Journal of Risk and Insurance, De Gruyter, vol. 15(1), pages 1-12, January.
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