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dc.contributor.authorKong, D.
dc.contributor.authorLiu, Lishan
dc.contributor.authorWu, Y.
dc.date.accessioned2018-01-30T08:01:20Z
dc.date.available2018-01-30T08:01:20Z
dc.date.created2018-01-30T05:59:15Z
dc.date.issued2017
dc.identifier.citationKong, D. and Liu, L. and Wu, Y. 2017. Optimal reinsurance under risk and uncertainty on Orlicz hearts. Insurance: Mathematics and Economics. 81: pp. 108-116.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/60633
dc.identifier.doi10.1016/j.insmatheco.2017.10.006
dc.description.abstract

In the paper, we study two classes of optimal reinsurance problems on Orlicz hearts in which both the insurer and reinsurer face risk and uncertainty. Based on Balbás et al. (2015) and Rockafellar and Royset (2015b), we first establish the robust representations for the mixed CVaR relative to the set of priors PU0. Then we introduce the general reinsurance premium principle and the general optimal reinsurance problems, which include most of the existing problems as special cases. The necessary and sufficient optimality conditions of the optimal reinsurance problems are obtained by different dual approaches under more general assumptions.

dc.publisherElsevier BV
dc.titleOptimal reinsurance under risk and uncertainty on Orlicz hearts
dc.typeJournal Article
dcterms.source.issn0167-6687
dcterms.source.titleInsurance: Mathematics and Economics
curtin.departmentSchool of Electrical Engineering, Computing and Mathematical Science (EECMS)
curtin.accessStatusFulltext not available


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