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

翻译：本文旨在以温度和降水作为基础气候变量，对天气衍生品合约进行定价。我们采用神经网络方法结合时间序列预测，对多伦多和芝加哥的环太平洋指数进行估值。