Spatial Stochastic Model for Optimization Capacity of Insurance Networks Under Dependent Catastrophic Risks: Numerical Experiments

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http://eprints.org/relation/isVersionOf https://pure.iiasa.ac.at/id/document/4389 http://eprints.org/relation/isVolatileVersionOf https://pure.iiasa.ac.at/id/document/4389 http://eprints.org/relation/isCoversheetVersionOf https://pure.iiasa.ac.at/id/document/4389 archive 351 disk0/00/00/52/63 2016-01-15 02:09:03 2021-08-27 17:16:07 2016-01-15 02:09:03 monograph show 2 Ermolieva T.Y. 7638 Ermoliev Y.M. 1445 Norkin V.I. AL1055 Spatial Stochastic Model for Optimization Capacity of Insurance Networks Under Dependent Catastrophic Risks: Numerical Experiments pub iis_ecn iis_mod iis_rsk prog_rmp The paper proposes for the general framework for the optimization capacity of an insurance industry in responding to catastrophic risks. Explicit geographical representation allows for sufficient differentiation of property values and insurance coverages in different parts of the region and for realistic modeling of catastrophes in space and time. Numerical experiments demonstrate the possibility of stochastic optimization techniques for optimal diversification of catastrophic exposure. This is important for increasing the stability of insurers, their profits and for the financial protection of the population. 1997-06 published IR-97-028 IR-97-028 83 338 2245 public interim_report IIASA, Laxenburg, Austria 30 FALSE info:eu-repo/semantics/book