Singular Fourier-Padé Series Expansion of European Option Prices

Article


Chan, R. 2018. Singular Fourier-Padé Series Expansion of European Option Prices. Quantitative Finance. 18 (7), pp. 1149-1171. https://doi.org/10.1080/14697688.2017.1414952
AuthorsChan, R.
Abstract

We apply a new numerical method, the singular Fourier-Pad ́e (SFP) method invented by Driscoll and
Fornberg (2001, 2011), to price European-type options in L ́evy and affine processes. The motivation
behind this application is to reduce the inefficiency of current Fourier techniques when they are used to
approximate piecewise continuous (non-smooth) probability density functions. When techniques such as
fast Fourier transforms and Fourier series are applied to price and hedge options with non-smooth prob-
ability density functions, they cause the Gibbs phenomenon; accordingly, the techniques converge slowly
for density functions with jumps in value or derivatives. This seriously adversely affects the efficiency and
accuracy of these techniques. In this paper, we derive pricing formulae and their option Greeks using the
SFP method to resolve the Gibbs phenomenon and restore the global spectral convergence rate. More-
over, we show that our method requires a small number of terms to yield fast error convergence, and it
is able to accurately price any European-type option deep in/out of the money and with very long/short
maturities. Furthermore, we conduct an error-bound analysis of the SFP method in option pricing. This
new method performs favourably in numerical experiments compared with existing techniques.

JournalQuantitative Finance
Journal citation18 (7), pp. 1149-1171
ISSN1469-7688
Year2018
PublisherTaylor & Francis
Accepted author manuscript
Digital Object Identifier (DOI)https://doi.org/10.1080/14697688.2017.1414952
Web address (URL)https://doi.org/10.1080/14697688.2017.1414952
Publication dates
Online23 Jan 2018
Publication process dates
Deposited07 Dec 2017
Accepted06 Dec 2017
Accepted06 Dec 2017
Copyright informationThis is an Accepted Manuscript of an article published by Taylor & Francis in Quantitative Finance on 23/01/2018, available online: http://www.tandfonline.com/10.1080/14697688.2017.1414952
LicenseAll rights reserved (under embargo)
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