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The Role of Financial Instruments in Integrated Catastrophic Flood Management

Author

Listed:
  • Tatiana Ermolieva

    (International Institute for Applied Systems Analysis, Austria)

  • Yuri Ermoliev

    (International Institute for Applied Systems Analysis, Austria)

  • Guenther Fischer

    (International Institute for Applied Systems Analysis, Austria)

  • Istvan Galambos

    (VITUKI Consult, Hungary)

Abstract

The main goal of this paper is to develop a flood management model that takes into account the specifics of catastrophic risk management: highly mutually dependent losses, the lack of information, the need for long-term perspectives and explicit analyses of spatial and temporal heterogeneities of various agents such as individuals, governments, and insurers. We use modified data from a pilot region of the Upper Tisza river, Hungary, to illustrate the evaluation of a public multipillar flood loss-spreading program involving partial compensation to flood victims by the central government, the pooling of risks through a mandatory public catastrophe insurance on the basis of location-specific exposures, and the demand for a contingent ex-ante credit to reinsure the insurance’s liabilities. GIS-based catastrophe models and stochastic optimization methods are used to guide policy analysis with respect to location-specific risk exposures.

Suggested Citation

  • Tatiana Ermolieva & Yuri Ermoliev & Guenther Fischer & Istvan Galambos, 2003. "The Role of Financial Instruments in Integrated Catastrophic Flood Management," Multinational Finance Journal, Multinational Finance Journal, vol. 7(3-4), pages 207-230, September.
    • Handle: RePEc:mfj:journl:v:7:y:2003:i:3-4:p:207-230
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    References listed on IDEAS

    as
    1. 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.
    2. Mayers, David & Smith, Clifford W, Jr, 1983. "The Interdependence of Individual Portfolio Decisions and the Demand for Insurance," Journal of Political Economy, University of Chicago Press, vol. 91(2), pages 304-311, April.
    3. Arrow, Kenneth J, 1996. "The Theory of Risk-Bearing: Small and Great Risks," Journal of Risk and Uncertainty, Springer, vol. 12(2-3), pages 103-111, May.
    4. Norbert J. Jobst & Stavros A. Zenios, 2001. "The Tail that Wags the Dog: Integrating Credit Risk in Asset Portfolios," Journal of Risk Finance, Emerald Group Publishing Limited, vol. 3(1), pages 31-43, April.
    5. Philippe Artzner & Freddy Delbaen & Jean‐Marc Eber & David Heath, 1999. "Coherent Measures of Risk," Mathematical Finance, Wiley Blackwell, vol. 9(3), pages 203-228, July.
    6. 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.
    7. Y.M. Ermoliev & T.Y. Ermolieva & G.J. MacDonald & V.I. Norkin, 2000. "Stochastic Optimization of Insurance Portfolios for Managing Exposure to Catastrophic Risks," Annals of Operations Research, Springer, vol. 99(1), pages 207-225, December.
    Full references (including those not matched with items on IDEAS)

    Citations

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    Cited by:

    1. Perez-Maqueo, O. & Intralawan, A. & Martinez, M.L., 2007. "Coastal disasters from the perspective of ecological economics," Ecological Economics, Elsevier, vol. 63(2-3), pages 273-284, August.
    2. 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.
    3. Tatiana Ermolieva & Petr Havlik & Yuri Ermoliev & Nikolay Khabarov & Michael Obersteiner, 2021. "Robust Management of Systemic Risks and Food-Water-Energy-Environmental Security: Two-Stage Strategic-Adaptive GLOBIOM Model," Sustainability, MDPI, vol. 13(2), pages 1-16, January.

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    More about this item

    Keywords

    flood risk; catastrophe modeling; insurance; stochastic optimization; insolvency; contingent credit; CvaR;
    All these keywords.

    JEL classification:

    • G22 - Financial Economics - - Financial Institutions and Services - - - Insurance; Insurance Companies; Actuarial Studies
    • G28 - Financial Economics - - Financial Institutions and Services - - - Government Policy and Regulation
    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis

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