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Modelling Environment Changes for Pricing Weather Derivatives

Author

Listed:
  • Stanimir Kabaivanov
  • Veneta Markovska

Abstract

This paper focuses on modelling environment changes in a way that allows to price weather derivatives in a flexible and efficient way. Applications and importance of climate and weather contracts extends beyond financial markets and hedging as they can be used as complementary tools for risk assessment. In addition, option-based approach toward resource management can offer very special insights on rare-events and allow to reuse derivative pricing methods to improve natural resources management. To demonstrate this general concept, we use Monte Carlo and stochastic modelling of temperatures to evaluate weather options. Research results are accompanied by R and Python code. JEL Codes - G13; G17; G18

Suggested Citation

  • Stanimir Kabaivanov & Veneta Markovska, 2017. "Modelling Environment Changes for Pricing Weather Derivatives," Scientific Annals of Economics and Business (continues Analele Stiintifice), Alexandru Ioan Cuza University, Faculty of Economics and Business Administration, vol. 64(4), pages 423-430, December.
    • Handle: RePEc:aic:saebjn:v:64:y:2017:i:4:p:423-430:n:85
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    References listed on IDEAS

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    6. Rama Cont, 2006. "Model uncertainty and its impact on the pricing of derivative instruments," Post-Print halshs-00002695, HAL.
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    Keywords

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    JEL classification:

    • G13 - Financial Economics - - General Financial Markets - - - Contingent Pricing; Futures Pricing
    • G17 - Financial Economics - - General Financial Markets - - - Financial Forecasting and Simulation
    • G18 - Financial Economics - - General Financial Markets - - - Government Policy and Regulation

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