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Stochastic time-changed Lévy processes with their implementation

Includes bibliographical references.

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Bibliographic Details
Main Author: Sihlobo, Odwa
Other Authors: Mataramvura, Sure
Format: Thesis
Language:English
Published: Division of Actuarial Science 2015
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access_status_str Open Access
author Sihlobo, Odwa
author2 Mataramvura, Sure
author_browse Mataramvura, Sure
Sihlobo, Odwa
author_facet Mataramvura, Sure
Sihlobo, Odwa
author_sort Sihlobo, Odwa
collection Thesis
description Includes bibliographical references.
format Thesis
id oai:open.uct.ac.za:11427/13156
institution University of Cape Town (South Africa)
language eng
last_indexed 2026-06-10T12:42:35.874Z
license_str Not specified — see source repository
provenance_str_mv Harvested via OAI-PMH from UCTD — University of Cape Town Open Access Repository
publishDate 2015
publishDateRange 2015
publishDateSort 2015
publisher Division of Actuarial Science
publisherStr Division of Actuarial Science
record_format dspace
source_str UCTD — University of Cape Town Open Access Repository
spelling oai:open.uct.ac.za:11427/13156 Stochastic time-changed Lévy processes with their implementation Sihlobo, Odwa Mataramvura, Sure Financial Mathematics Includes bibliographical references. We focus on the implementation details for Lévy processes and their extension to stochastic volatility models for pricing European vanilla options and exotic options. We calibrated five models to European options on the S&P500 and used the calibrated models to price a cliquet option using Monte Carlo simulation. We provide the algorithms required to value the options when using Lévy processes. We found that these models were able to closely reproduce the market option prices for many strikes and maturities. We also found that the models we studied produced different prices for the cliquet option even though all the models produced the same prices for vanilla options. This highlighted a feature of model uncertainty when valuing a cliquet option. Further research is required to develop tools to understand and manage this model uncertainty. We make a recommendation on how to proceed with this research by studying the cliquet option’s sensitivity to the model parameters. 2015-06-29T07:46:30Z 2015-06-29T07:46:30Z 2014 Master Thesis Masters MPhil http://hdl.handle.net/11427/13156 eng application/pdf Division of Actuarial Science Faculty of Commerce University of Cape Town
spellingShingle Financial Mathematics
Sihlobo, Odwa
Stochastic time-changed Lévy processes with their implementation
thesis_degree_str Master's
title Stochastic time-changed Lévy processes with their implementation
title_full Stochastic time-changed Lévy processes with their implementation
title_fullStr Stochastic time-changed Lévy processes with their implementation
title_full_unstemmed Stochastic time-changed Lévy processes with their implementation
title_short Stochastic time-changed Lévy processes with their implementation
title_sort stochastic time changed levy processes with their implementation
topic Financial Mathematics
url http://hdl.handle.net/11427/13156
work_keys_str_mv AT sihloboodwa stochastictimechangedlevyprocesseswiththeirimplementation