Modelling Environment Changes for Pricing Weather Derivatives

Kabaivanov Stanimir () and Markovska Veneta ()
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Kabaivanov Stanimir: University of Plovdiv Paisii Hilendarski, Plovdiv, Bulgaria
Markovska Veneta: University of Food Technologies, Plovdiv, Bulgaria

Scientific Annals of Economics and Business, 2017, vol. 64, issue 4, 423-430

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.

Keywords: weather derivatives; temperature modelling; Monte Carlo (search for similar items in EconPapers)
JEL-codes: G13 G17 G18 (search for similar items in EconPapers)
Date: 2017
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Persistent link: https://EconPapers.repec.org/RePEc:vrs:aicuec:v:64:y:2017:i:4:p:423-430:n:6

DOI: 10.1515/saeb-2017-0031

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