Efficient computation of european option prices and their sensitivities with the complex fourier series method

Article


Chan, R. 2019. Efficient computation of european option prices and their sensitivities with the complex fourier series method. The North American Journal of Economics and Finance. 50 (Art. 100984). https://doi.org/10.1016/j.najef.2019.100984
AuthorsChan, R.
Abstract

Highly accurate approximation pricing formulae and option Greeks are obtained for European-type options using a complex Fourier series. We assume that risky assets are driven by exponential Lévy processes and affine stochastic volatility models. We provide a succinct error analysis to demonstrate that we can achieve an exponential convergence rate in the pricing method in many cases as long as we choose the correct truncated computational interval. As a novel pricing method, we also numerically demonstrate that the complex Fourier series performs either favourably or comparably with existing techniques in numerical experiments.

JournalThe North American Journal of Economics and Finance
Journal citation50 (Art. 100984)
ISSN1062-9408
Year2019
PublisherElsevier
Accepted author manuscript
License
File Access Level
Anyone
Digital Object Identifier (DOI)https://doi.org/10.1016/j.najef.2019.100984
Web address (URL)https://doi.org/10.1016/j.najef.2019.100984
Publication dates
Online03 May 2019
Publication process dates
Deposited22 May 2019
Accepted30 Apr 2019
Accepted30 Apr 2019
Copyright holder© 2019 Elsevier
Permalink -

https://repository.uel.ac.uk/item/843v5

Download files


Accepted author manuscript
CFSDirect_v4.pdf
License: CC BY-NC-ND 4.0
File access level: Anyone

  • 146
    total views
  • 278
    total downloads
  • 2
    views this month
  • 2
    downloads this month

Export as

Related outputs

Pricing European-type, early-exercise and discrete barrier options using an algorithm for the convolution of Legendre series
Chan, R. and Hale, N. 2020. Pricing European-type, early-exercise and discrete barrier options using an algorithm for the convolution of Legendre series. Quantitative Finance. 20 (8), pp. 1307-1324. https://doi.org/10.1080/14697688.2020.1736612
An SFP–FCC method for pricing and hedging early-exercise options under Lévy processes
Chan, R. 2020. An SFP–FCC method for pricing and hedging early-exercise options under Lévy processes. Quantitative Finance. 20 (8), pp. 1325-1343. https://doi.org/10.1080/14697688.2020.1736322
Hedging and pricing early-exercise options with complex fourier series expansion
Chan, R. 2019. Hedging and pricing early-exercise options with complex fourier series expansion. The North American Journal of Economics and Finance. 54 (Art. 100973). https://doi.org/10.1016/j.najef.2019.04.016
Singular Fourier-Padé Series Expansion of European Option Prices
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
A Radial Basis Function Scheme for Option Pricing in Exponential Lévy Models
Brummelhuis, Raymond and Chan, R. 2013. A Radial Basis Function Scheme for Option Pricing in Exponential Lévy Models. Applied Mathematical Finance. 21 (3), pp. 238-269. https://doi.org/10.1080/1350486X.2013.850902
Options pricing under the one-dimensional jump-diffusion model using the radial basis function interpolation scheme
Chan, R. and Hubbert, Simon 2014. Options pricing under the one-dimensional jump-diffusion model using the radial basis function interpolation scheme. Review of Derivatives Research. 17 (2), pp. 161-189. https://doi.org/10.1007/s11147-013-9095-3
Adaptive Radial Basis Function Methods for Pricing Options Under Jump-Diffusion Models
Chan, R. 2016. Adaptive Radial Basis Function Methods for Pricing Options Under Jump-Diffusion Models. Computational Economics. 47 (4), pp. 623-643. https://doi.org/10.1007/s10614-016-9563-6
Option pricing with Legendre polynomials
Hok, Julien and Chan, R. 2017. Option pricing with Legendre polynomials. Journal of Computational and Applied Mathematics. 322, pp. 25-45. https://doi.org/10.1016/j.cam.2017.03.027