Volatility Skews Implied by a Multi-Technology Bid Stack Model for Electricity Markets

T. Wottka
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引用次数: 1

Abstract

This paper presents implied volatility smiles and skews for plain vanilla electricity options based on a new bid stack model developed in a previous paper. This underlying bid stack model for the electricity market is extended to the case of an arbitrary number N of technology classes embedded in the production stack (esp. for N>2). As bid stack model, the developed framework represents a structural model that considers a range of heat rates per technology class rather than a single heat rate. The electricity spot price S_{t} is considered as a function of random variables like residual load, available production capacity, as well as marginal production costs per technology class including the full technology switch dynamics. Additionally, deviations from the marginal cost price level in the form of a scarcity function are included. Presuming a stylised electricity market with three technologies (N=3), we apply closed formulas for European put and call options derived in the previous paper and exhibit the obtained volatility skew structures. Considering different electricity consumption regimes, the structural model approach reveals in a very transparent way, how the volatility skew features switch depending on the market's demand side.
电力市场多技术竞价叠加模型隐含的波动率偏差
本文基于一种新的出价堆栈模型,给出了普通电力期权的隐含波动率微笑和倾斜。电力市场的基础出价堆栈模型扩展到嵌入生产堆栈中的任意数量N个技术类别的情况(特别是对于N>2)。作为投标堆栈模型,开发的框架代表了一个结构模型,该模型考虑了每个技术类别的热量范围,而不是单一的热量。电力现货价格S_{t}被认为是随机变量的函数,如剩余负荷,可用生产能力,以及边际生产成本的每一个技术等级,包括全技术切换动态。此外,从稀缺函数形式的边际成本价格水平的偏差也包括在内。假设一个具有三种技术(N=3)的风格化电力市场,我们应用前一篇论文中导出的欧洲看跌期权和看涨期权的封闭公式,并展示了获得的波动率偏态结构。考虑到不同的电力消费制度,结构模型方法以一种非常透明的方式揭示了波动性倾斜特征如何根据市场需求侧而变化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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