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  • 标题:Modelling Environment Changes for Pricing Weather Derivatives
  • 本地全文:下载
  • 作者:Stanimir Kabaivanov ; Veneta Markovska
  • 期刊名称:Scientific Annals of the “Alexandru Ioan Cuza” University of Iasi – Economic Sciences Series
  • 印刷版ISSN:2501-1960
  • 电子版ISSN:2501-3165
  • 出版年度:2017
  • 卷号:64
  • 期号:4
  • 页码:423-430
  • DOI:10.1515/saeb-2017-0031
  • 语种:
  • 出版社:Sciendo
  • 摘要: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.
  • 关键词:weather derivatives; temperature modelling; Monte Carlo
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