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Option pricing and hedging under a stochastic volatility Lévy process model

机译:随机波动率Lévy过程模型下的期权定价和对冲

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摘要

In this paper, we discuss a stochastic volatility model with a Lévy driving process and then apply the model to option pricing and hedging. The stochastic volatility in our model is defined by the continuous Markov chain. The risk-neutral measure is obtained by applying the Esscher transform. The option price using this model is computed by the Fourier transform method. We obtain the closed-form solution for the hedge ratio by applying locally risk-minimizing hedging.
机译:在本文中,我们讨论具有Lévy驱动过程的随机波动率模型,然后将其应用于期权定价和对冲。我们模型中的随机波动率由连续的马尔可夫链定义。通过应用Esscher变换可获得风险中性度量。使用此模型的期权价格通过傅里叶变换方法计算。通过应用局部风险最小化的对冲,我们获得了对冲比率的封闭式解决方案。

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