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Sereda, E. N., Bronshtein, E. M., Rachev, S. T., Fabozzi, F. J., Sun, W., & Stoyanov, S. V. (2010). Distortion Risk Measures in Portfolio Optimization. In J. B. Guerard (Ed.), Contributions to Insurance Economics (pp. 649-673). Springer.
https://doi.org/10.1007/978-0-387-77439-8_25

has been cited by the following article:

• TITLE: Optimal Insurance with Background Risk and Belief Heterogeneity

  AUTHORS: Zixuan Xu

  KEYWORDS: Optimal Insurance, Background Risk, Belief Heterogeneity, Generalized Wang’s Premium Principle, No Insurance, Full Insurance

  JOURNAL NAME: Open Journal of Business and Management, Vol.10 No.1, January 5, 2022

  ABSTRACT: In this paper, we study an optimal insurance model by maximizing the insurer’s expected utility in the presence of background risk and belief heterogeneity. When the insurance premium is calculated by the generalized Wang’s premium principle, we prove the existence and uniqueness of the optimal solution and give a necessary and sufficient condition for the optimal insurance policy. With the help of these results, we consider the optimality of no insurance and full insurance and give more concise conditions.