2013
DOI: 10.1016/j.insmatheco.2013.05.005
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Optimal risk transfer under quantile-based risk measurers

Abstract: The classical problem of identifying the optimal risk transfer from one insurance company to multiple reinsurance companies is examined under some quantilebased risk measure criteria. We develop a new methodology via a two-stage optimisation procedure which allows us to not only recover some existing results in the literature, but also makes possible the analysis of high dimensional problems in which the insurance company diversifies its risk with multiple reinsurance counter-parties, where the insurer risk po… Show more

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Cited by 48 publications
(34 citation statements)
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References 47 publications
(49 reference statements)
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“…Very recent contributions focus on the issues of price optimisation, mainly from the ethical and regulation points of view, see [5,6]. It is important to note that optimality issues in insurance and reinsurance business, not directly related to the problems treated in this contribution, have been discussed in various context, see [7,8,9,10,11,12,13] and the references therein.…”
Section: Introductionmentioning
confidence: 99%
“…Very recent contributions focus on the issues of price optimisation, mainly from the ethical and regulation points of view, see [5,6]. It is important to note that optimality issues in insurance and reinsurance business, not directly related to the problems treated in this contribution, have been discussed in various context, see [7,8,9,10,11,12,13] and the references therein.…”
Section: Introductionmentioning
confidence: 99%
“…an insurer and a reinsurer, recently some progress have been made on addressing the optimal reinsurance in the presence of multiple reinsurers. See for example Asimit et al (2013), Chi and Meng (2014), and Cong and Tan (2014).…”
Section: Introductionmentioning
confidence: 99%
“…First, we allow for very general preferences of the insurer. In contrast, both Asimit et al (2013) and Cong and Tan (2014) assume that the insurer's preference is to minimize its value at risk (VaR) while Chi and Meng (2014) assume conditional value at risk (CVaR), in addition to VaR.…”
Section: Introductionmentioning
confidence: 99%
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