Abstract
A new approach to the problem of approximate optimization of insurance business is proposed that lies in optimizing net income (dividends) under a constraint on the probability of ruin. The probability is then replaced by its exponential upper bound. This trick allows one to eliminate a complicated probabilistic constraint and to decompose the problem according to separate lines of business. Thus, problems of optimization of tariffs, insurance, portfolios, reinsurance treaties, and operational management are approximately solved.
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References
R. E. Beard, T. Pentikainen, and E. Pesonen, Risk Theory: The Stochastic Basis of Insurance, 3rd Edition, Chapman and Hall, London-New York (1984).
N. L. Bowers, H. U. Gerber, D. A. Jones, C. J. Nesbitt, and J. C. Hickman, Actuarial Mathematics [Russian translation], Yanus-K, Moscow (2001).
E. V. Glukhova, O. A. Zmeev, and K. I. Livshits, Mathematical Insurance Models [in Russian], Izd. Tomsk. Un-ta, Tomsk (2004).
O. I. Yastremskii and O. G. Gritsenko, Fundamentals of Microeconomics [in Ukrainian], 2nd Edition, Znannya-Press, Kyiv (2007).
O. A. Zmeev, “Investigation of mathematical models of insurance processes with nonstationary flows of insurance risks,” Abstract of Doctoral Dissertation (Physical and Mathematical Sciences), Izd. Tomsk. Un-ta, Tomsk (2005).
A. N. Nakonechnyi, “Optimization of risk processes,” Cybernetics and Systems Analysis, Vol. 32, No. 5, 641–646 (1996).
P. Cizek, W. Hardle, and R. Weron (eds.), Statistical Tools for Finance and Insurance, Springer, N.Y. (2005).
S. Asmussen, Ruin Probabilities, World Scientific, Singapore–New Jersey–London–Hong Kong (2000).
M. M. Leonenko, Yu. S. Mishura, Ya. M. Parkhomenko, and M. I. Yadrenko, Probability-Theoretic and Statistical Methods in Econometrics and Financial Mathematics [in Ukrainian], Informtekhnika, Kyiv (1995).
G. I. Lyubchenko and A. N. Nakonechnyi, “Optimization methods for compound Poison risk processes,” Cybernetics and Systems Analysis, Vol. 34, No. 2, 230–237 (1998).
B. V. Norkin, “Method of successive approximation for solving integral equations of the theory of risk processes,” Cybernetics and Systems Analysis, Vol. 40, No. 4, 517–526 (2004).
B. V. Norkin, “Necessary and sufficient conditions of existence and uniqueness of solutions to integral equations of actuarial mathematics,” Cybernetics and Systems Analysis, Vol. 42, No. 5, 743–749 (2006).
B. V. Norkin, “On the solution of the basic integral equation of actuarial mathematics by the method of successive approximations,” Ukr. Mat. Zh., 59, No. 12, 112–127 (2007).
B. V. Norkin, “Stochastic successive approximation method for assessing the insolvency risk of an insurance company,” Cybernetics and Systems Analysis, Vol. 44, No. 6, 892–905 (2008).
H. U. Gerber, An Introduction to Mathematical Risk Theory, S. S. Huebner Foundation for Insurance Education, Philadelphia (1979).
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Translated from Kibernetika i Sistemnyi Analiz, No. 1, pp. 128–145, January–February 2011.
This work is supported under grant No. GP/F27/0088 of the President of Ukraine for young scientists.
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Norkin, B.V. Mathematical models for insurance business optimization. Cybern Syst Anal 47, 117–133 (2011). https://doi.org/10.1007/s10559-011-9295-5
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DOI: https://doi.org/10.1007/s10559-011-9295-5