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The Heston stochastic volatility model with piecewise constant parameters - efficient calibration and pricing of window barrier options

机译:分段恒定参数的饱和随机波动率模型 - 窗口屏障选择的有效校准和定价

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The Heston stochastic volatility model is a standard model for valuing financial derivatives, since it can be calibrated using semi-analytical formulas and captures the most basic structure of the market for financial derivatives with simple structure in time-direction. However, extending the model to the case of time-dependent parameters, which would allow for a parametrization of the market at multiple timepoints, proves more challenging. We present a simple and numerically efficient approach to the calibration of the Heston stochastic volatility model with piecewise constant parameters. We show that semi analytical formulas can also be derived in this more complex case and combine them with recent advances in computational techniques for the Heston model. Our numerical scheme is based on the calculation of the characteristic function using Gauss-Kronrod quadrature with an additional control variate that stabilizes the numerical integrals. We use our method to calibrate the Heston model with piecewise constant parameters to the foreign exchange (FX) options market. Finally, we demonstrate improvements of the Heston model with piecewise constant parameters upon the standard Heston model in selected cases. (C) 2018 Elsevier B.V. All rights reserved.
机译:HESTON随机波动率模型是估值金融衍生物的标准模型,因为它可以使用半分析公式进行校准,并捕捉到时效结构简单的金融衍生品市场的最基本结构。但是,将模型扩展到时间相关参数的情况,这将允许在多个时间点处进行市场参数化,证明更具有挑战性。我们在具有分段恒定参数的匹配中校准了一种简单而数值有效的方法,校准了Heston随机挥发性模型。我们表明,在这种更复杂的情况下也可以得出半分析公式,并将它们与HESTON模型的计算技术中的最新进步相结合。我们的数值方案基于使用Gauss-Kronrod正交的特性功能的计算,其中额外的控制变化稳定数值积分。我们使用我们的方法来校准HESTON模型,将分段恒定参数与外汇(FX)选项市场进行分段。最后,我们展示了在选定案例中标准HESTON模型的分段恒定参数的彼塞模型的改进。 (c)2018年elestvier b.v.保留所有权利。

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