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Modelling Environment Changes for Pricing Weather Derivatives

Modelling Environment Changes for Pricing Weather Derivatives AbstractThis 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. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Scientific Annals of Economics and Business de Gruyter

Modelling Environment Changes for Pricing Weather Derivatives

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Publisher
de Gruyter
Copyright
© 2017 Stanimir Kabaivanov et al., published by De Gruyter Open
eISSN
2501-3165
DOI
10.1515/saeb-2017-0031
Publisher site
See Article on Publisher Site

Abstract

AbstractThis 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.

Journal

Scientific Annals of Economics and Businessde Gruyter

Published: Dec 1, 2017

References