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气温随机模型与我国气温期权定价研究
Temperature Stochastic Modeling and China Weather Options
【摘要】 建立气温期权交易对于对冲天气风险,增加市场金融投资品种具有重要意义。本文主要参照均值回复模型,考虑气温的季节变化和长期趋势,建立反映气温变化的随机模型,应用1980至1999年北京日平均气温对模型参数进行估计。实证仿真以及模型验证结果表明,模型的相对误差较小,建立的气温随机模型能够对未来气温变化进行较好的模拟。蒙特卡罗方法能够对天气衍生产品进行合理定价。
【Abstract】 Construction of temperature options has great importance to hedge weather risk and provide new financial products. A temperature stochastic process has been suggested with utilizing Vasicek mean reversion model, considering about seasonal effect and time trend. After empirical simulation and model verification, the model forecasts the temperature correctly. In the end, the Monte Carlo method is used in pricing weather option.
【关键词】 天气风险管理;
天气期权;
气温随机模型;
蒙特卡罗仿真;
【Key words】 weather risk management; weather options; temperature stochastic models; monte carlo simulation;
【Key words】 weather risk management; weather options; temperature stochastic models; monte carlo simulation;
- 【文献出处】 数理统计与管理 ,Application of Statistics and Management , 编辑部邮箱 ,2008年06期
- 【分类号】P468.021
- 【被引频次】34
- 【下载频次】563