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Wavelet finite element method for option pricing in highdimensional diffusion market models
by N. Hilber and S. Kehtari and Ch. Schwab and C. Winter
(Report number 2010-01)
Abstract
We consider the numerical solution of high-dimensional partial differential equations arising in option pricing problems in computational finance. To reduce the complexity in the number of degrees of freedom sparse tensor product spaces are applied for Galerkin discretization in log-price space. Using this technique we are able to price multi-asset options with up to eight underlying assets for the Black-Scholes framework and stochastic volatility models. Dimensionality reduction by principal component analysis and asymptotic expansion is investigated in order to price options on indices by considering the whole vector process of all of their constituents.
Keywords:
BibTeX@Techreport{HKSW10_423, author = {N. Hilber and S. Kehtari and Ch. Schwab and C. Winter}, title = {Wavelet finite element method for option pricing in highdimensional diffusion market models}, institution = {Seminar for Applied Mathematics, ETH Z{\"u}rich}, number = {2010-01}, address = {Switzerland}, url = {https://www.sam.math.ethz.ch/sam_reports/reports_final/reports2010/2010-01.pdf }, year = {2010} }
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