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Pricing Weather Derivatives: A Time Series Neural Network Approach

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  • Marco Hening-Tallarico
  • Pablo Olivares

Abstract

The objective of the paper is to price weather derivative contracts based on temperature and precipitation as underlying climate variables. We use a neural network approach combined with time series forecast to value Pacific Rim index in Toronto and Chicago

Suggested Citation

  • Marco Hening-Tallarico & Pablo Olivares, 2024. "Pricing Weather Derivatives: A Time Series Neural Network Approach," Papers 2411.12013, arXiv.org.
  • Handle: RePEc:arx:papers:2411.12013
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    File URL: http://arxiv.org/pdf/2411.12013
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