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

Author

Listed:
  • T.Y. Ermolieva
  • Y.M. Ermoliev
  • V.I. Norkin

Abstract

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.

Suggested Citation

  • T.Y. Ermolieva & Y.M. Ermoliev & V.I. Norkin, 1997. "Spatial Stochastic Model for Optimization Capacity of Insurance Networks Under Dependent Catastrophic Risks: Numerical Experiments," Working Papers ir97028, International Institute for Applied Systems Analysis.
    • Handle: RePEc:wop:iasawp:ir97028
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    Citations

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    Cited by:

    1. Y.M. Ermoliev & T.Y. Ermolieva & G.J. MacDonald & V.I. Norkin, 1998. "On the Design of Catastrophic Risk Portfolios," Working Papers ir98056, International Institute for Applied Systems Analysis.
    2. Y.M. Ermoliev & V.I. Norkin, 1998. "Monte Carlo Optimization and Path Dependent Nonstationary Laws of Large Numbers," Working Papers ir98009, International Institute for Applied Systems Analysis.
    3. T.Y. Ermolieva, 1997. "The Design of Optimal Insurance Decisions in the Presence of Catastrophic Risks," Working Papers ir97068, International Institute for Applied Systems Analysis.
    4. Ermoliev, Yuri M. & Ermolieva, Tatiana Y. & MacDonald, Gordon J. & Norkin, Vladimir I. & Amendola, Aniello, 2000. "A system approach to management of catastrophic risks," European Journal of Operational Research, Elsevier, vol. 122(2), pages 452-460, April.
    5. L.A. Korf, 1998. "Insurer's Portfolios of Risks: Approximating Infinite Horizon Stochastic Dynamic Optimization Problems," Working Papers ir98061, International Institute for Applied Systems Analysis.
    6. Karin Hansson & Aron Larsson & Mats Danielson & Love Ekenberg, 2011. "Coping with Complex Environmental and Societal Flood Risk Management Decisions: An Integrated Multi-criteria Framework," Sustainability, MDPI, vol. 3(9), pages 1-24, August.
    7. T. Ermolieva & T. Filatova & Y. Ermoliev & M. Obersteiner & K. M. de Bruijn & A. Jeuken, 2017. "Flood Catastrophe Model for Designing Optimal Flood Insurance Program: Estimating Location‐Specific Premiums in the Netherlands," Risk Analysis, John Wiley & Sons, vol. 37(1), pages 82-98, January.
    8. B.V. Digas, 1998. "Generators of Seismic Events and Losses: Scenario-based Insurance Optimization," Working Papers ir98079, International Institute for Applied Systems Analysis.
    9. H. Albrecher, 1998. "Dependent Risks and Ruin Probabilities in Insurance," Working Papers ir98072, International Institute for Applied Systems Analysis.
    10. A. Amendola & Y. Ermoliev & T. Ermolieva & V. Gitis & G. Koff & J. Linnerooth-Bayer, 2000. "A Systems Approach to Modeling Catastrophic Risk and Insurability," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 21(2), pages 381-393, May.

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