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Efficient Second-order Weak Scheme for Stochastic Volatility Models

机译:随机波动率模型的高效二阶弱方案

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Stochastic volatility models can be seen as a particular family of two-dimensional stochastic differential equations (SDE) in which the volatility process follows an autonomous one-dimensional SDE. We take advantage of this structure to propose an efficient discretization scheme with order two of weak convergence. We prove that the order two holds for the asset price and not only for the log-asset as usually found in the literature. Numerical experiments confirm our theoretical result and we show the superiority of our scheme compared to the Euler scheme, with or without Romberg extrapolation.
机译:随机挥发性模型可以被视为特定的二维随机微分方程(SDE),其中波动率处理遵循自主一维SDE。我们利用这种结构来提出一种有效的离散化方案,其中弱收敛的顺序。我们证明,这两项订单适用于资产价格,不仅适用于文献中通常在文献中发现的日志资产。数值实验证实了我们的理论结果,与欧拉方案相比,我们的方案的优势与欧拉方案相比,有或没有Romberg推断。

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