Please use this identifier to cite or link to this item: http://hdl.handle.net/2445/129546
Title: Shannon wavelets inverse Fourier technique for computacional finance
Author: Garcı́a Villa, Felipe
Director/Tutor: Ortiz Gracia, Luis
Vives i Santa Eulàlia, Josep, 1963-
Keywords: Espais de Hilbert
Ondetes (Matemàtica)
Treballs de fi de màster
Distribució (Teoria de la probabilitat)
Matemàtica financera
Mètode de Montecarlo
Opcions (Finances)
Hilbert space
Wavelets (Mathematics)
Master's theses
Distribution (Probability theory)
Business mathematics
Monte Carlo method
Options (Finance)
Issue Date: 11-Sep-2018
Abstract: [en] European options are financial derivatives, governed by the solution of an integral, the so-called discounted expectation of the pay-off function. For the computation of the expectation we require knowledge about the probability density function of the stochastic asset price process, which is typically available by its Fourier transform. In this project, we will explore wavelets theory to be able to construct the Shannon wavelets and use them to describe the density function. Also, a numerical method proposed by Luis Ortiz-Gracia and Cornelis W. Oosterlee to price these derivatives will be presented. This is called SWIFT (Shannon wavelet inverse Fourier technique).
Note: Treballs finals del Màster en Matemàtica Avançada, Facultat de matemàtiques, Universitat de Barcelona, Any: 2018, Director: Luis Ortiz Gracia i Josep Vives i Santa Eulàlia
URI: http://hdl.handle.net/2445/129546
Appears in Collections:Màster Oficial - Matemàtica Avançada

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