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The Kolmogorov forward fractional partial differential equation for the CGMY-process with applications in option pricing

机译:CGMY过程的Kolmogorov前向分数阶偏微分方程及其在期权定价中的应用

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In this paper we derive the Kolmogorov forward fractional partial differential equation (FPDE) for the CGMY-process. The resulting FPDE is solved numerically with a second order method in space and Backward Differentiation Formula of order two in time. We price options by integrating the resulting probability density function multiplied by the pay-off function of the option. Hence, we only have to solve one FPDE to price several options. This is useful in practical applications where it is common to price many options simultaneously for the same underlying diffusion model.
机译:在本文中,我们推导了CGMY过程的Kolmogorov正向分数阶偏微分方程(FPDE)。通过空间二阶方法和时间上的二阶向后微分公式对所得的FPDE进行数值求解。我们通过对结果概率密度函数乘以期权的收益函数进行积分来对期权定价。因此,我们只需要解决一个FPDE就能为几种选择定价。这在实际应用中非常有用,因为对于相同的基础扩散模型,通常同时为许多期权定价。

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