Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
4625587 | Applied Mathematics and Computation | 2017 | 19 Pages |
Abstract
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.
Keywords
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Physical Sciences and Engineering
Mathematics
Applied Mathematics
Authors
Álvaro Leitao, Lech A. Grzelak, Cornelis W. Oosterlee,