Two dimensional COS method for pricing early-exercise and discrete barrier options under the Heston Model

Includes bibliographical references. === We focus on the pricing of Bermudan and barrier options under the dynamics of the Heston stochastic volatility model. The two-dimensional nature of the Heston model makes the pricing of these options problematic, as the risk-neutral expectations need to be ca...

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Main Author: Moir, Richard
Other Authors: Becker, Ronald
Format: Dissertation
Language:English
Published: University of Cape Town 2014
Online Access:http://hdl.handle.net/11427/8520
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spelling ndltd-netd.ac.za-oai-union.ndltd.org-uct-oai-localhost-11427-85202020-10-06T05:11:29Z Two dimensional COS method for pricing early-exercise and discrete barrier options under the Heston Model Moir, Richard Becker, Ronald Includes bibliographical references. We focus on the pricing of Bermudan and barrier options under the dynamics of the Heston stochastic volatility model. The two-dimensional nature of the Heston model makes the pricing of these options problematic, as the risk-neutral expectations need to be calculated at each exercise/observation date along a continuum of the two state spaces. We examine the 2D-COS method, which makes use of Fourier-cosine expansions in each of the two dimensions in order to approximate the integrals. Using the fast Fourier transform, we are able to efficiently calculate the cosine series coefficients at each exercise/observation date. A construction of this method is provided and we conduct numerical experiments to evaluate its speed and accuracy. 2014-10-17T10:09:45Z 2014-10-17T10:09:45Z 2014 Master Thesis Masters MPhil http://hdl.handle.net/11427/8520 eng application/pdf University of Cape Town Faculty of Commerce Division of Actuarial Science
collection NDLTD
language English
format Dissertation
sources NDLTD
description Includes bibliographical references. === We focus on the pricing of Bermudan and barrier options under the dynamics of the Heston stochastic volatility model. The two-dimensional nature of the Heston model makes the pricing of these options problematic, as the risk-neutral expectations need to be calculated at each exercise/observation date along a continuum of the two state spaces. We examine the 2D-COS method, which makes use of Fourier-cosine expansions in each of the two dimensions in order to approximate the integrals. Using the fast Fourier transform, we are able to efficiently calculate the cosine series coefficients at each exercise/observation date. A construction of this method is provided and we conduct numerical experiments to evaluate its speed and accuracy.
author2 Becker, Ronald
author_facet Becker, Ronald
Moir, Richard
author Moir, Richard
spellingShingle Moir, Richard
Two dimensional COS method for pricing early-exercise and discrete barrier options under the Heston Model
author_sort Moir, Richard
title Two dimensional COS method for pricing early-exercise and discrete barrier options under the Heston Model
title_short Two dimensional COS method for pricing early-exercise and discrete barrier options under the Heston Model
title_full Two dimensional COS method for pricing early-exercise and discrete barrier options under the Heston Model
title_fullStr Two dimensional COS method for pricing early-exercise and discrete barrier options under the Heston Model
title_full_unstemmed Two dimensional COS method for pricing early-exercise and discrete barrier options under the Heston Model
title_sort two dimensional cos method for pricing early-exercise and discrete barrier options under the heston model
publisher University of Cape Town
publishDate 2014
url http://hdl.handle.net/11427/8520
work_keys_str_mv AT moirrichard twodimensionalcosmethodforpricingearlyexerciseanddiscretebarrieroptionsunderthehestonmodel
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