Centeno, Maria de Lourdes Dependent risks and excess of loss reinsurance. (English) Zbl 1125.91062 Insur. Math. Econ. 37, No. 2, 229-238 (2005). Summary: We study, from the insurance point of view, the optimal excess of loss retention limits for two dependent risks. We consider two optimization criteria, which are quite connected. The expected utility of wealth with respect to the exponential utility function and the adjustment coefficient of the retained aggregate claims amount. We consider that the number of claims is generated by a bivariate Poisson distribution. The premium calculation principle used for the excess of loss treaties is the expected value principle. Although the systems of equations, that give the optimal solution for both problems, look quite similar, we will see that the optimal solution is heavily dependent on the criterion chosen. Cited in 21 Documents MSC: 91B30 Risk theory, insurance (MSC2010) 60G50 Sums of independent random variables; random walks PDF BibTeX XML Cite \textit{M. de L. Centeno}, Insur. Math. Econ. 37, No. 2, 229--238 (2005; Zbl 1125.91062) Full Text: DOI OpenURL References: [1] Centeno, M.L., The expected utility applied to reinsurance, () · Zbl 0658.62123 [2] Holgate, P., Estimation for biavariate Poisson distributions, Biometrika, 51, 241-245, (1964) · Zbl 0133.11802 [3] Johnson, L.; Kotz, S.; Balakrishnan, N., Discrete multivariate distributions, (1997), Wiley · Zbl 0868.62048 [4] Wang, S., 1998. Aggregation of correlated risk portfolios: Mothels and algorithms, Proceedings of the Casualty Actuarial Society, vol. LXXXV, pp. 848-939. [5] Waters, H., Excess of loss reinsurance limits, Scand. acta J., 1, 37-43, (1979) · Zbl 0399.62106 This reference list is based on information provided by the publisher or from digital mathematics libraries. Its items are heuristically matched to zbMATH identifiers and may contain data conversion errors. It attempts to reflect the references listed in the original paper as accurately as possible without claiming the completeness or perfect precision of the matching.