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Analysis of model implied volatility for jump diffusion models: Empirical evidence from the Nordpool market

机译:跳跃扩散模型的模型隐含波动性分析:来自Nordpool市场的经验证据

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In this paper we examine the importance of mean reversion and spikes in the stochastic behaviour of the underlying asset when pricing options on power. We propose a model that is flexible in its formulation and captures the stylized features of power prices in a parsimonious way. The main feature of the model is that it incorporates two different speeds of mean reversion to capture the differences in price behaviour between normal and spiky periods. We derive semi-closed form solutions for European option prices using transform analysis and then examine the properties of the implied volatilities that the model generates. We find that the presence of jumps generates prominent volatility skews which depend on the sign of the mean jump size. We also show that mean reversion reduces the volatility smile as time to maturity increases. In addition, mean reversion induces volatility skews particularly for ITM options, even in the absence of jumps. Finally, jump size volatility and jump intensity mainly affect the kurtosis and thus the curvature of the smile with the former having a more important role in making the volatility smile more pronounced and thus increasing the kurtosis of the underlying price distribution.
机译:在本文中,我们研究了在对期权定价时标的资产均值回归和峰值对随机行为的重要性。我们提出了一个模型,该模型具有灵活的表达方式,并以简约的方式体现了电价的典型特征。该模型的主要特点是它结合了两种不同的均值回复速度,以捕获正常和尖峰期之间的价格行为差异。我们使用转换分析得出欧洲期权价格的半封闭式解决方案,然后检查模型生成的隐含波动率的属性。我们发现跳跃的存在会产生明显的波动偏斜,这取决于平均跳跃大小的符号。我们还表明,随着到期时间的增加,均值回归会减少波动性微笑。此外,即使没有跳跃,均值回归也会引起波动偏斜,特别是对于ITM期权而言。最后,跳跃大小的波动性和跳跃强度主要影响峰度,因此,微笑的曲率具有更大的作用,前者在使波动性微笑更加明显并因此增加基础价格分布的峰度方面具有更重要的作用。

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