On the Convergence Rate of Bonus-Malus Systems

Abstract
Under certain conditions, a Bonus-Malus system can be interpreted as a Markov chain whose n-step transition probabilities converge to a limit probability distribution. In this paper, the rate of the convergence is studied by means of the eigenvalues of the transition probability matrix of the Markov chain. KEYWORDS Bonus-Malus systems; rate of convergence; automobile insurance. Markov chains; eigenvalues;
Volume
22:2
Page
217-224
Year
1992
Categories
Actuarial Applications and Methodologies
Ratemaking
Classification Plans
Actuarial Applications and Methodologies
Ratemaking
Experience Rating
Actuarial Applications and Methodologies
Ratemaking
Rating Class Relativities
Financial and Statistical Methods
Statistical Models and Methods
Publications
ASTIN Bulletin
Authors
Heikki Bonsdorff