Accelerating the calibration of stochastic volatility models
This paper compares the performance of three methods for pricing vanilla options in models with known characteristic function: (1) Direct integration, (2) Fast Fourier Transform (FFT), (3) Fractional FFT. The most important application of this comparison is the choice of the fastest method for the calibration of stochastic volatility models, e.g. Heston, Bates, Barndorff-Nielsen-Shephard models or Levy models with stochastic time. We show that using additional cache technique makes the calibration with the direct integration method at least seven times faster than the calibration with the fractional FFT method.
|Date of creation:||2007|
|Contact details of provider:|| Postal: Sonnemannstraße 9-11, 60314 Frankfurt am Main|
Phone: 069 154008-0
Web page: http://www.frankfurt-school.de/content/en/cpqf
More information through EDIRC
When requesting a correction, please mention this item's handle: RePEc:zbw:cpqfwp:6. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (ZBW - German National Library of Economics)
If references are entirely missing, you can add them using this form.