Hostname: page-component-78c5997874-mlc7c Total loading time: 0 Render date: 2024-11-10T19:37:18.808Z Has data issue: false hasContentIssue false

On a discrete-time risk model with claim correlated premiums

Published online by Cambridge University Press:  21 July 2015

Xueyuan Wu*
Affiliation:
Department of Economics, The University of Melbourne, VIC 3010, Australia
Mi Chen
Affiliation:
School of Mathematics and Computer Science, Fujian Normal University, Fuzhou 350007, China
Junyi Guo
Affiliation:
School of Mathematical Sciences, Nankai University, Tianjin 300071, China
Can Jin
Affiliation:
Department of Economics, The University of Melbourne, VIC 3010, Australia
*
*Correspondence to: Xueyuan Wu, Department of Economics, The University of Melbourne, VIC 3010, Australia. Fax: +61 3 8344 6899. E-mail: xueyuanw@unimelb.edu.au

Abstract

This paper proposes a discrete-time risk model that has a certain type of correlation between premiums and claim amounts. It is motivated by the well-known bonus-malus system (also known as the no claims discount) in the car insurance industry. Such a system penalises policyholders at fault in accidents by surcharges, and rewards claim-free years by discounts. For simplicity, only up to three levels of premium are considered in this paper and recursive formulae are derived to calculate the ultimate ruin probabilities. Explicit expressions of ruin probabilities are obtained in a simplified case. The impact of the proposed correlation between premiums and claims on ruin probabilities is examined through numerical examples. In the end, the joint probability of ruin and deficit at ruin is also considered.

Type
Papers
Copyright
© Institute and Faculty of Actuaries 2015 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Afonso, L.B., Reis, A.D. & Waters, H.R (2010). Numerical evaluation of continuous-time ruin probabilities for a portfolio with credibility updated premiums. ASTIN Bulletin, 40, 399414.Google Scholar
Denuit, M., Marchal, X., Pitrebois, S. & Walhin, J.F. (2007). Actuarial Modelling of Claim Counts: Risk Classification, Credibility and Bonus-Malus Systems. John Wiley & Sons Ltd, England.Google Scholar
Dufresne, F. (1988). Distributions stationnaires d’un système bonus-malus et probabilité de ruine. ASTIN Bulletin, 18, 3146.Google Scholar
Frangos, N.E. & Vrontos, S.D. (2001). Design of optimal bonus-malus systems with a frequency and a severity component on an individual basis in automobile insurance. ASTIN Bulletin, 3, 1122.Google Scholar
Lemaire, J. (1995). Bonus-Malus Systems in Automobile Insurance. Kluwer Academic Publishers, Boston, MA/Dordrecht/London.CrossRefGoogle Scholar
Lemaire, J. & Zi, H. (1994). A comparative analysis of 30 bonus-malus systems. ASTIN Bulletin, 24(2), 287309.CrossRefGoogle Scholar
Li, S., Landriault, D. & Lemieux, C. (2015). A risk model with varying premiums: its risk management implications. Insurance: Mathematics and Economics, 60, 3846.Google Scholar
Tremblay, L. (1992). Using the Poisson inverse Gaussian in bonus-malus systems. ASTIN Bulletin, 22, 97106.Google Scholar
Wagner, C. (2001). A note on ruin in a two state Markov model. ASTIN Bulletin, 32, 349358.CrossRefGoogle Scholar
Wagner, C. (2002). Time in the red in a two state Markov model. Insurance: Mathematics and Economics, 31, 365372.Google Scholar