A fast and accurate FFT-based method for pricing early-exercise options under Lévy processes
AbstractA fast and accurate method for pricing early exercise and certain exotic options in computational finance is presented. The method is based on a quadrature technique and relies heavily on Fourier transformations. The main idea is to reformulate the well-known risk-neutral valuation formula by recognising that it is a convolution. The resulting convolution is dealt with numerically by using the Fast Fourier Transform (FFT). This novel pricing method, which we dub the Convolution method, CONV for short, is applicable to a wide variety of payoffs and only requires the knowledge of the characteristic function of the model. As such the method is applicable within exponentially Lévy models, including the exponentially affine jump-diffusion models. For an M-times exercisable Bermudan option, the overall complexity is O(MN log(N)) with N grid points used to discretise the price of the underlying asset. It is shown how to price American options efficiently by applying Richardson extrapolation to the prices of Bermudan options.
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Bibliographic InfoPaper provided by University Library of Munich, Germany in its series MPRA Paper with number 1952.
Date of creation: 28 Feb 2007
Date of revision:
Option pricing; Bermudan options; American options; convolution; Lévy Processes; Fast Fourier Transform;
Find related papers by JEL classification:
- G13 - Financial Economics - - General Financial Markets - - - Contingent Pricing; Futures Pricing
- C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
This paper has been announced in the following NEP Reports:
- NEP-ALL-2007-03-03 (All new papers)
- NEP-CMP-2007-03-03 (Computational Economics)
- NEP-KNM-2007-03-03 (Knowledge Management & Knowledge Economy)
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