A Spectral Element Framework for Option Pricing Under General Exponential Lévy Processes

  • Authors:
  • Pierre Garreau;David Kopriva

  • Affiliations:
  • Department of Mathematics, Florida State University, Tallahassee, USA 32306;Department of Mathematics, Florida State University, Tallahassee, USA 32306

  • Venue:
  • Journal of Scientific Computing
  • Year:
  • 2013

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Abstract

We derive a spectral element framework to compute the price of vanilla derivatives when the dynamic of the underlying follows a general exponential Lévy process. The representation of the solution with Legendre polynomials allows one to naturally approximate the convolution integral with high order quadratures. The method is spectrally accurate in space for the solution and the greeks, and third order accurate in time. The spectral element framework does not require an approximation of the Lévy measure nor the lower truncation of the convolution integral as commonly seen in finite difference approximations. We show that the spectral element method is ten times faster than Fast Fourier Transform methods for the same accuracy at strike, and two hundred times faster if one reconstructs the greeks from the solution obtained by FFT. We use the SEM approximation to derive the $$\Delta $$ Δ and $$\Gamma $$ Γ in a variance gamma model, for which there is no closed form solution.