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On real growth and run-off companies in insurance ruin theory

Published online by Cambridge University Press:  19 September 2016

Harri Nyrhinen*
Affiliation:
University of Helsinki
*
* Postal address: Department of Mathematics and Statistics, University of Helsinki, PO Box 68 (Gustaf Hällströmin Katu 2b), FIN 00014, Finland. Email address: [email protected]

Abstract

We study solvency of insurers in a comprehensive model where various economic factors affect the capital developments of the companies. The main interest is in the impact of real growth to ruin probabilities. The volume of the business is allowed to increase or decrease. In the latter case, the study is focused on run-off companies. Our main results give sharp asymptotic estimates for infinite-time ruin probabilities.

Type
Research Article
Copyright
Copyright © Applied Probability Trust 2016 

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References

Asmussen, S. and Klüppelberg, C. (1996).Large deviations results for subexponential tails, with applications to insurance risk.Stoch. Process. Appl. 64,103125.CrossRefGoogle Scholar
Daykin, C. D.,Pentikäinen, T. and Pesonen, M. (1994).Practical Risk Theory for Actuaries.Chapman & Hall,London.Google Scholar
Dembo, A. and Zeitouni, O. (1998).Large Deviations Techniques and Applications,2nd edn.Springer,New York.Google Scholar
Embrechts, P.,Maejima, M. and Teugels, J. L. (1985).Asymptotic behaviour of compound distributions.ASTIN Bull. 15,4548.Google Scholar
Glynn, P. W. and Whitt, W. (1994).Logarithmic asymptotics for steady-state tail probabilities in a single-server queue. In Studies in Applied Probability(J. Appl. Prob. Spec. Vol. 31A),Applied Probability Trust,Sheffield, pp. 131156.Google Scholar
Goldie, C. M. (1991).Implicit renewal theory and tails of solutions of random equations.Ann. Appl. Prob. 1,126166.Google Scholar
Grandell, J. (1997).Mixed Poisson Processes.Chapman & Hall,London.CrossRefGoogle Scholar
Norberg, R. (1993).Prediction of outstanding liabilities in non-life insurance.ASTIN Bull. 23,95115.Google Scholar
Nyrhinen, H. (1994).Rough limit results for level-crossing probabilities.J. Appl. Prob. 31,373382.CrossRefGoogle Scholar
Nyrhinen, H. (1995).On the typical level crossing time and path.Stoch. Process. Appl. 58,121137.CrossRefGoogle Scholar
Nyrhinen, H. (2001).Finite and infinite time ruin probabilities in a stochastic economic environment.Stoch. Process. Appl. 92,265285.CrossRefGoogle Scholar
Nyrhinen, H. (2005).Upper bounds of the Gärtner‒Ellis theorem for the sequences of random variables.Statist. Prob. Lett. 73,5760.Google Scholar
Nyrhinen, H. (2010).Economic factors and solvency.ASTIN Bull. 40,889915.Google Scholar
Paulsen, J. (2008).Ruin models with investment income.Prob. Surv. 5,416434.CrossRefGoogle Scholar
Pentikäinen, T. and Rantala, J. (1982).Solvency of Insurers and Equalization Reserves.The Insurance Publishing Company,Helsinki.Google Scholar
Pentikäinen, T. et al. (1989).Insurance Solvency and Financial Strength.Finnish Insurance Training and Publishing Company,Helsinki.Google Scholar
Petrov, V. V. (1965).On the probabilities of large deviations for sums of independent random variables.Theory Prob. Appl. 10,287298.Google Scholar
Rantala, J. (1984).An application of stochastic control theory to insurance business.Acta. Univ. Tamper. A 164, 157pp.Google Scholar
Rockafellar, R. T. (1970).Convex Analysis.Princeton University Press.Google Scholar
Rolski, T.,Schmidli, H.,Schmidt, V. and Teugels, J. (1999).Stochastic Processes for Insurance and Finance.John Wiley,Chichester.Google Scholar
Ruohonen, M. (1988).The claims occurrence process and the I.B.N.R. problem. In Proceedings of International Congress of Actuaries, Part 4,Helsinki, pp. 113123.Google Scholar
Teugels, J. L. (1985).Approximation and estimation of some compound distributions.Insurance Math. Econom. 4,143153.CrossRefGoogle Scholar
Varadhan, S. R. S. (1984).Large Deviations and Applications.SIAM,Philadelphia, PA. Google Scholar
Von Bahr, B. and Esseen, C.-G. (1965).Inequalities for the rth absolute moment of a sum of random variables, 1≤r≤2.Ann. Math. Statist. 36,299303.Google Scholar