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Prediction of RBNS and IBNR Claims using Claim Amounts and Claim Counts

Published online by Cambridge University Press:  09 August 2013

Richard Verrall
Affiliation:
Faculty of Actuarial Science and Insurance, Cass Business School, City University, London, E-mail: [email protected]
Jens Perch Nielsen
Affiliation:
Faculty of Actuarial Science and Insurance, Cass Business School, City University, London
Anders Hedegaard Jessen
Affiliation:
Department of Mathematical Sciences, University of Copenhagen

Abstract

A model is proposed using the run-off triangle of paid claims and also the numbers of reported claims (in a similar triangular array). These data are usually available, and allow the model proposed to be implemented in a large variety of situations. On the basis of these data, the stochastic model is built from detailed assumptions for individual claims, but then approximated using a compound Poisson framework. The model explicitly takes into account the delay from when a claim is incurred and to when it is reported (the IBNR delay) and the delay from when a claim is reported and to when it is fully paid (the RBNS delay). These two separate sources of delay are estimated separately, unlike most other reserving methods. The results are compared with those of the chain ladder technique.

Type
Research Article
Copyright
Copyright © International Actuarial Association 2010

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References

Bühlmann, H., Schnieper, R. and Straub, E. (1980) Claims reserves in casualty insurance based on a probability model. Mitteilungen der Vereinigung Schweizerischer Versicherungsmathematiker.Google Scholar
England, P.D. and Verrall, R.J. (1999) Analytic and bootstrap estimates of prediction errors in claims reserving. Insurance: Mathematics and Economics, 25, 281293.Google Scholar
England, P.D. and Verrall, R.J. (2002) Stochstic claims reserving in general insurance (with discussion). British Actuarial Journal, 8, 443544.CrossRefGoogle Scholar
England, P.D. and Verrall, R.J. (2006) Predictive Distributions of Outstanding Liabilities in General Insurance. Annals of Actuarial Science, 1, 221270.CrossRefGoogle Scholar
Hachemeister, C.A. and Standard, J.N. (1975) IBNR claims count estimation with static lag functions. 12th Astin Colloquium, IAA, Portimao, Portugal.Google Scholar
Liu, H. and Verrall, R. (2009a) Predictive Distributions for Reserves which Separate True IBNR and IBNER Claims. Astin Bulletin, 39, 3560.CrossRefGoogle Scholar
Liu, H. and Verrall, R. (2009b) A Bootstrap Estimate of the Predictive Distribution of Out-standing Claims for the Schnieper Model. To appear in Astin Bulletin.Google Scholar
Mack, T. (1991) A simple parametric model for rating automobile insurance or estimating IBNR claims reserves. Astin Bulletin, 21(1), 93108.CrossRefGoogle Scholar
McCullagh, P. and Nelder, J.A. (1989) Generalized Linear Models, second edition. Chapman & Hall, London.CrossRefGoogle Scholar
Neuhaus, W. (2004) On the estimation of outstanding claims. Australian Actuarial Journal, 10, 485518.Google Scholar
Norberg, R. (1986) A contribution to modelling of IBNR claims. Scandinavian Actuarial Journal, 155203.CrossRefGoogle Scholar
Norberg, R. (1993) Prediction of outstanding liabilities in non-life insurance. Astin Bulletin, 23(1), 95115.CrossRefGoogle Scholar
Norberg, R. (1999) Prediction of outstanding claims: Model variations and extensions. Astin Bulletin, 29(1), 525.CrossRefGoogle Scholar
Ntzoufras, I. and Dellaportas, P. (2002) Bayesian modeling of outstanding liabilities incorporating claim count uncertainty. North American Actuarial Journal, 6(1), 113137.CrossRefGoogle Scholar
Renshaw, A.E. and Verrall, R. (1994) The stochastic model underlying the chain ladder technique. Actuarial research paper no. 63.Google Scholar
Schmidt, K.D. (2007) A bibliography on loss reserving. Available on: http://www.math.tu-dresden.de/sto/schmidt/dsvm/reserve.pdf Google Scholar
Schnieper, R. (1991) Separating true IBNR and IBNER claims. Astin Bulletin, 21, 111127.CrossRefGoogle Scholar
Taylor, G.C. (1986) Claims reserving in non-life insurance. North Holland.Google Scholar
Taylor, G.C. and McGuire, G. (2004) Loss reserving with GLM – a case study. CAS discussion paper program, 327391.Google Scholar
Verrall, R.J. (1990) Bayes and empirical Bayes estimates for the chains ladder. Astin Bulletin, 20, 217243.CrossRefGoogle Scholar
Verrall, R.J. (1991) Chain ladder and maximum likelihood. Journal of the Institute of Actuaries, 118, 489499.CrossRefGoogle Scholar
Verrall, R.J. and England, P.D. (2005) Incorporating expert opinion into a stochastic model for the chain-ladder technique. Insurance, Mathematic and Economics, 37, 355370.CrossRefGoogle Scholar
Wright, T.S. (1990) A stochastic method for claims reserving in general insurance. Journal of the Institute of Actuaries, 117, 677731.CrossRefGoogle Scholar
Wüthrich, M.V. and Merz, M. (2008) Stochastic Claims Reserving Methods in Insurance. Wiley.Google Scholar