On a one time-step Monte Carlo simulation approach of the SABR model: Application to European options

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摘要

In this work, we propose a one time-step Monte Carlo method for the SABR model. We base our approach on an accurate approximation of the cumulative distribution function of the time-integrated variance (conditional on the SABR volatility), using Fourier techniques and a copula. Resulting is a fast simulation algorithm which can be employed to price European options under the SABR dynamics. Our approach can thus be seen as an alternative to Hagan’s analytic formula for short maturities that may be employed for model calibration purposes.

论文关键词:Computational finance,Stochastic-local volatility models,SABR model,Copulas

论文评审过程:Received 11 February 2016, Revised 9 August 2016, Accepted 15 August 2016, Available online 9 September 2016, Version of Record 9 September 2016.

论文官网地址:https://doi.org/10.1016/j.amc.2016.08.030