Hilbert transform, spectral filters and option pricing

Volume: 282, Issue: 1-2, Pages: 273 - 298
Published: May 14, 2018
Abstract
We show how spectral filters can improve the convergence of numerical schemes which use discrete Hilbert transforms based on a sinc function expansion, and thus ultimately on the fast Fourier transform. This is relevant, for example, for the computation of fluctuation identities, which give the distribution of the maximum or the minimum of a random path, or the joint distribution at maturity with the extrema staying below or above barriers. We...
Paper Details
Title
Hilbert transform, spectral filters and option pricing
Published Date
May 14, 2018
Volume
282
Issue
1-2
Pages
273 - 298
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