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From the Samuelson Volatility Effect to a Samuelson Correlation Effect: Evidence from Crude Oil Calendar Spread Options

机译:从萨缪尔森波动率效应到萨缪尔森相关效应:   来自原油日历价差选择的证据

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摘要

We introduce a multi-factor stochastic volatility model based on theCIR/Heston stochastic volatility process. In order to capture the Samuelsoneffect displayed by commodity futures contracts, we add expiry-dependentexponential damping factors to their volatility coefficients. The pricing ofsingle underlying European options on futures contracts is straightforward andcan incorporate the volatility smile or skew observed in the market. Wecalculate the joint characteristic function of two futures contracts in themodel in analytic form and use the one-dimensional Fourier inversion method ofCaldana and Fusai (JBF 2013) to price calendar spread options. The model leadsto stochastic correlation between the returns of two futures contracts. Weillustrate the distribution of this correlation in an example. We then proposeanalytical expressions to obtain the copula and copula density directly fromthe joint characteristic function of a pair of futures. These expressions areconvenient to analyze the term-structure of dependence between the two futuresproduced by the model. In an empirical application we calibrate the proposedmodel to volatility surfaces of vanilla options on WTI. In this application weprovide evidence that the model is able to produce the desired stylized factsin terms of volatility and dependence. In a separate appendix, we give guidancefor the implementation of the proposed model and the Fourier inversion resultsby means of one and two-dimensional FFT methods.
机译:我们介绍了基于CIR / Heston随机波动率过程的多因素随机波动率模型。为了捕获商品期货合约显示的萨缪尔森效应,我们在其波动率系数中添加了与到期相关的指数阻尼因子。欧洲基础期货期权的单一定价很简单,并且可以结合市场中观察到的波动性微笑或偏斜。我们以解析形式计算模型中两个期货合约的联合特征函数,并使用Caldana和Fusai的一维傅里叶反演方法(JBF 2013)对日历价差期权进行定价。该模型导致两个期货合约收益之间的随机相关。在一个示例中,我们说明了这种相关性的分布。然后,我们提出解析表达式,直接从一对期货的联合特征函数中获得copula和copula密度。这些表达式便于分析模型产生的两个期货之间的依存关系的期限结构。在经验应用中,我们将建议的模型校准为WTI上香草期权的波动面。在本申请中,我们提供了证据,表明该模型能够在波动性和依赖性方面产生所需的风格化事实。在单独的附录中,我们通过一维和二维FFT方法为所提出的模型和傅里叶反演结果的实施提供指导。

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