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Spectral Decomposition of Option Prices in Fast Mean-Reverting Stochastic Volatility Models


Jean-Pierre Fouque


University of California, Santa Barbara

Sebastian Jaimungal


University of Toronto - Department of Statistics

Matthew Lorig


ORFE Department, Pinceton University

August 2, 2010

SIAM Journal of Financial Mathematics, Forthcoming

Abstract:     
Using spectral decomposition techniques and singular perturbation theory, we develop a systematic method to approximate the prices of a variety of European and path-dependent options in a fast mean-reverting stochastic volatility setting. Our method is shown to be equivalent to those developed in Fouque, Papanicolaou, and Sircar (2000), but has the advantage of being able to price options for which the methods of Fouque et.al. are unsuitable. In particular, we are able to price double-barrier options. To our knowledge, this is the first time that double-barrier options have been priced in a stochastic volatility setting in which the Brownian motions driving the stock and volatility are correlated.

Number of Pages in PDF File: 22

Keywords: Spectral Methods, Stochastic Volatility, Barrier Options

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Date posted: August 3, 2010 ; Last revised: June 29, 2011

Suggested Citation

Fouque, Jean-Pierre, Jaimungal, Sebastian and Lorig, Matthew, Spectral Decomposition of Option Prices in Fast Mean-Reverting Stochastic Volatility Models (August 2, 2010). SIAM Journal of Financial Mathematics, Forthcoming . Available at SSRN: http://ssrn.com/abstract=1652302

Contact Information

Jean-Pierre Fouque
University of California, Santa Barbara ( email )
Santa Barbara, CA 93106
United States
Sebastian Jaimungal (Contact Author)
University of Toronto - Department of Statistics ( email )
Toronto, Ontario M5S 3G3
Canada
HOME PAGE: http://www.utstat.utoronto.ca/sjaimung
Matthew Lorig
ORFE Department, Pinceton University ( email )
ORFE Departement, Princeton University
Sherrerd Hall Room 117
Princeton, NJ 08540
United States
Feedback to SSRN (Beta)


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