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Qualitative Risk Coverage In Agriculture Through Derivative Financial Instruments Based On Selyaninov Indices


  • KEVORCHIAN, Cristian

    (Institute of Agricultural Economics, Romanian Academy)

  • GAVRILESCU, Camelia

    (Institute of Agricultural Economics, Romanian Academy)

  • HURDUZEU, Gheorghe

    (Institute of Agricultural Economics, Romanian Academy)


The financial product designed by the authors belongs to the class of derivative financial instruments, having “weather conditions” as basic variable; the settlement is oriented to options on OTC markets, which are able to adapt to the farmers’ risk exposure level. Unfortunately, they cause certain problems at position liquidation, and, moreover, due to lack of stock prices, they require proper evaluation models. The transformation of the weather risk into financial risk and its trading on financial markets relies on the willingness for risk taking of those groups of farmers which are using this particular financial instrument. One needs to emphasize that the proposed product is covering the risk for the production segment only of a specific crop that cannot be covered by the regular agricultural insurance, and it is based upon the Selyaninov index. The calculation formulae for a put type option will be presented: pay-off, strike, tick, and the level of the insurance premium for cereals. The reference weather stations will be: Tulcea, Brăila, Buzău, Galaţi, Focşani and Medgidia.

Suggested Citation

  • KEVORCHIAN, Cristian & GAVRILESCU, Camelia & HURDUZEU, Gheorghe, 2013. "Qualitative Risk Coverage In Agriculture Through Derivative Financial Instruments Based On Selyaninov Indices," Studii Financiare (Financial Studies), Centre of Financial and Monetary Research "Victor Slavescu", vol. 17(3), pages 19-32.
  • Handle: RePEc:vls:finstu:v:17:y:2013:i:3:p:19-32

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    References listed on IDEAS

    1. Vedenov, Dmitry V. & Barnett, Barry J., 2004. "Efficiency of Weather Derivatives as Primary Crop Insurance Instruments," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 29(3), pages 1-17, December.
    2. Patrick L. Brockett & Mulong Wang & Chuanhou Yang, 2005. "Weather Derivatives and Weather Risk Management," Risk Management and Insurance Review, American Risk and Insurance Association, vol. 8(1), pages 127-140, March.
    3. Jerry R. Skees & Barry J. Barnett, 1999. "Conceptual and Practical Considerations for Sharing Catastrophic/Systemic Risks," Review of Agricultural Economics, Agricultural and Applied Economics Association, vol. 21(2), pages 424-441.
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    Cited by:

    1. Kevorchian, Cristian & Gavrilescu, Camelia, 2015. "Use of maximum entropy in estimating production risks in crop farms," MPRA Paper 69377, University Library of Munich, Germany.
    2. Cristian KEVORCHIAN & Camelia GAVRILESCU & Gheorghe HURDUZEU, 2015. "An Approach Based On Big Data And Machine Learning For Optimizing The Management Of Agricultural Production Risks," Agricultural Economics and Rural Development, Institute of Agricultural Economics, vol. 12(2), pages 117-128.

    More about this item


    Selyaninov index; weather risk; hedging; derivative instruments; options;

    JEL classification:

    • Q14 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Agricultural Finance
    • G22 - Financial Economics - - Financial Institutions and Services - - - Insurance; Insurance Companies; Actuarial Studies
    • G23 - Financial Economics - - Financial Institutions and Services - - - Non-bank Financial Institutions; Financial Instruments; Institutional Investors


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