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  5. Path dependent option pricing under Lévy processes applied to Bermudan options
 
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Path dependent option pricing under Lévy processes applied to Bermudan options

Author(s)
O'Sullivan, Conall  
Uri
http://hdl.handle.net/10197/1192
Date Issued
2004-12
Date Available
2009-06-15T15:40:54Z
Abstract
A model is developed that can price path dependent options when the underlying
process is an exponential Lévy process with closed form conditional characteristic
function. The model is an extension of a recent quadrature option pricing model so that it can be applied with the use of Fourier and Fast Fourier transforms.
Thus the model possesses nice features of both Fourier and quadrature option pricing techniques since it can be applied for a very general set of underlying Lévy processes and can handle exotic path dependent features. The model is applied to European and Bermudan options for geometric Brownian motion, a jump-diffusion process, a variance gamma process and a normal inverse Gaussian process. However it must be noted that the model can also price other path dependent exotic options such as lookback and Asian options.
Type of Material
Working Paper
Publisher
University College Dublin. School of Business. Centre for Financial Markets
Series
Centre for Financial Markets working paper series
WP-05-02
Copyright (Published Version)
2004, Centre for Financial Markets
Subjects

Fast Fourier transfor...

Path dependent option...

Recursive

Subject – LCSH
Options (Finance)--Mathematical models
Lévy processes
Fourier transformations
Web versions
http://www.ucd.ie/bankingfinance/docs/wp/WP-2005-2-ExoticOptionPricingLevy.PDF
Language
English
Status of Item
Not peer reviewed
This item is made available under a Creative Commons License
https://creativecommons.org/licenses/by-nc-sa/1.0/
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WP-05-02.pdf

Size

304.71 KB

Format

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Checksum (MD5)

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Owning collection
Centre for Financial Markets Working Papers

Item descriptive metadata is released under a CC-0 (public domain) license: https://creativecommons.org/public-domain/cc0/.
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