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Options on realized variance by transform methods: A non-affine stochastic volatility model

机译:通过变换方法实现的方差的选项:非仿射随机波动率模型

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In this paper we study the pricing and hedging of options on realized variance in the 3/2 non-affine stochastic volatility model by developing efficient transform-based pricing methods. This non-affine model gives prices of options on realized variance that allow upward-sloping implied volatility of variance smiles. Heston's model[Rev. Financial Stud., 1993, 6, 327-343], the benchmark affine stochastic volatility model, leads to downward-sloping volatility of variance smiles-in disagreement with variance markets in practice. Using control variates, we propose a robust method to express the Laplace transform of the variance call function in terms of the Laplace transform of the realized variance. The proposed method works in any model where the Laplace transform of realized variance is available in closed form. Additionally, we apply a new numerical Laplace inversion algorithm that gives fast and accurate prices for options on realized variance, simultaneously at a sequence of variance strikes. The method is also used to derive hedge ratios for options on variance with respect to variance swaps.
机译:在本文中,我们通过开发有效的基于变换的定价方法,研究了3/2非仿射随机波动率模型中已实现方差的期权定价和对冲。这种非仿射模型给出了已实现方差的期权价格,这些价格允许方差微笑的向上倾斜隐含波动率。赫斯顿模型[Rev. [Financial Stud。,1993,6,327-343],基准仿射随机波动率模型,导致方差笑容的波动幅度向下倾斜-在实践中与方差市场不同。使用控制变量,我们提出了一种鲁棒的方法来根据已实现方差的拉普拉斯变换来表达方差调用函数的拉普拉斯变换。所提出的方法可在任何可用闭合形式的实现方差的拉普拉斯变换的模型中使用。此外,我们应用了新的数值拉普拉斯反演算法,该算法可在出现一系列方差时同时快速而准确地为已实现方差的期权提供价格。该方法还用于针对方差掉期得出方差期权的套期保值比率。

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