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Markov-Switching models and resultant equity implied volatility surfaces: a South African application

Includes bibliographical references.

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Bibliographic Details
Main Author: Fairbrother, Mark
Other Authors: Becker, Ronald
Format: Thesis
Language:English
Published: Department of Mathematics and Applied Mathematics 2014
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access_status_str Open Access
author Fairbrother, Mark
author2 Becker, Ronald
author_browse Becker, Ronald
Fairbrother, Mark
author_facet Becker, Ronald
Fairbrother, Mark
author_sort Fairbrother, Mark
collection Thesis
description Includes bibliographical references.
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id oai:open.uct.ac.za:11427/10450
institution University of Cape Town (South Africa)
language eng
last_indexed 2026-06-10T12:33:49.949Z
license_str Not specified — see source repository
provenance_str_mv Harvested via OAI-PMH from UCTD — University of Cape Town Open Access Repository
publishDate 2014
publishDateRange 2014
publishDateSort 2014
publisher Department of Mathematics and Applied Mathematics
publisherStr Department of Mathematics and Applied Mathematics
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source_str UCTD — University of Cape Town Open Access Repository
spelling oai:open.uct.ac.za:11427/10450 Markov-Switching models and resultant equity implied volatility surfaces: a South African application Fairbrother, Mark Becker, Ronald Mathematics of Finance Includes bibliographical references. Standard Geometric Brownian Motion is the stock model underlying Black-Scholes famous option pricing formula. There are however numerous problems with this stock model as certain features do not follow some empirical stylised facts we see from the observation of actual asset prices. In particular, the constant parameter idea behind Geometric Brownian Motion is flawed. It is argued that information flow dictates stock price movements and information is a function macro-economic regimes shifts. As such, we propose an alternative model, one in which the parameters in the Standard Geometric Brownian Motion change according to an underlying Hidden Markov Process. This new model, termed a Markov-Switching model, is presented in extensive detail. Parameter Estimation methods, Simulation Methods and Option Pricing Theory are explored. Summary algorithms are presented so that this dissertation may be used as a good reference guide for those wishing to apply Markov-Switching Models. The model is tested by fitting the model on South African data and using the discussed option theory to create various implied volatility surfaces. The surfaces produced appear to obey some of the empirical observations and theoretical ideas around expected implied volatility surfaces, indicating that the Markov-Switching model has some value for option pricing. 2014-12-28T20:11:43Z 2014-12-28T20:11:43Z 2012 Master Thesis Masters MSc http://hdl.handle.net/11427/10450 eng application/pdf Department of Mathematics and Applied Mathematics Faculty of Science University of Cape Town
spellingShingle Mathematics of Finance
Fairbrother, Mark
Markov-Switching models and resultant equity implied volatility surfaces: a South African application
thesis_degree_str Master's
title Markov-Switching models and resultant equity implied volatility surfaces: a South African application
title_full Markov-Switching models and resultant equity implied volatility surfaces: a South African application
title_fullStr Markov-Switching models and resultant equity implied volatility surfaces: a South African application
title_full_unstemmed Markov-Switching models and resultant equity implied volatility surfaces: a South African application
title_short Markov-Switching models and resultant equity implied volatility surfaces: a South African application
title_sort markov switching models and resultant equity implied volatility surfaces a south african application
topic Mathematics of Finance
url http://hdl.handle.net/11427/10450
work_keys_str_mv AT fairbrothermark markovswitchingmodelsandresultantequityimpliedvolatilitysurfacesasouthafricanapplication