Filtering and Identification of Stochastic Risk Premium for Electricity Spot Price Models

S. Aihara, A. Bagchi, E. Imreizeeq
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引用次数: 1

Abstract

Starting from the simple model for the spot price which is set as the jump augmented Vasicek model, we construct a factor model of the electricity futures as the stochastic hyperbolic systems with jumps. Representing the main spike phenomena of the electricity spot price from one observed futures data by proxy, the filtering of factor process and the related stochastic risk premium are formulated in a Gaussian frame work. After serving the likelihood functional, the systems parameter estimation problem is solved.
电力现货价格模型随机风险溢价的滤波与识别
从简单的现货价格跳跃增广Vasicek模型出发,构造了一个具有跳跃的随机双曲系统的电力期货因素模型。通过对一个观测到的期货数据的代理,表示电力现货价格的主要峰值现象,在高斯框架中建立了因素过程的过滤和相关的随机风险溢价。服务似然泛函后,解决了系统参数估计问题。
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