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Path-dependent volatility and the preservation of PDEs

Dissertation (MSc)--University of Pretoria, 2016.

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Other Authors: Van Zyl, A.J.
Format: Thesis
Language:English
Published: University of Pretoria 2017
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access_status_str Open Access
author2 Van Zyl, A.J.
author_browse Van Zyl, A.J.
author_facet Van Zyl, A.J.
collection Thesis
dc_rights_str_mv © 2017 University of Pretoria. All rights reserved. The copyright in this work vests in the University of Pretoria. No part of this work may be reproduced or transmitted in any form or by any means, without the prior written permission of the University of Pretoria.
description Dissertation (MSc)--University of Pretoria, 2016.
format Thesis
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institution University of Pretoria (South Africa)
language English
last_indexed 2026-06-10T12:36:24.683Z
license_str Other — see source repository
provenance_str_mv Harvested via OAI-PMH from UPSpace — University of Pretoria Institutional Repository
publishDate 2017
publishDateRange 2017
publishDateSort 2017
publisher University of Pretoria
publisherStr University of Pretoria
record_format dspace
source_str UPSpace — University of Pretoria Institutional Repository
spelling oai:repository.up.ac.za:2263/60823 Path-dependent volatility and the preservation of PDEs Van Zyl, A.J. michaellight22@gmail.com Light, Michael UCTD Dissertation (MSc)--University of Pretoria, 2016. The classical theory of risk neutral derivative pricing relies on the underlying market model being Markovian and complete. We present the theory of stochastic di erential equations relevant to risk neutral pricing, with a particular focus on the Markov property and its links to partial di erential equations. We demonstrate when this classical theory can still be applied to derivative pricing in models with path dependent volatility. A link between these models and the local volatility framework is derived via the representation of local volatility as the conditional expectation of some, more complicated, process. Julien Guyon used this link as a tool in tting a large class of models to the market. We will propose a tted, complete and Markovian market model, which incorporates past asset levels in future volatility levels. The numerical implementation of such a model is addressed through a Monte Carlo scheme incorporating Guyon's particle method, as well as a nite difference scheme. Mathematics and Applied Mathematics MSc Unrestricted 2017-06-05T12:11:01Z 2017-06-05T12:11:01Z 2017-04-21 2016 Dissertation Light, M 2016, Path-dependent volatility and the preservation of PDEs, MSc Dissertation, University of Pretoria, Pretoria, viewed yymmdd <http://hdl.handle.net/2263/60823> A2017 http://hdl.handle.net/2263/60823 en © 2017 University of Pretoria. All rights reserved. The copyright in this work vests in the University of Pretoria. No part of this work may be reproduced or transmitted in any form or by any means, without the prior written permission of the University of Pretoria. application/pdf University of Pretoria
spellingShingle UCTD
Path-dependent volatility and the preservation of PDEs
title Path-dependent volatility and the preservation of PDEs
title_full Path-dependent volatility and the preservation of PDEs
title_fullStr Path-dependent volatility and the preservation of PDEs
title_full_unstemmed Path-dependent volatility and the preservation of PDEs
title_short Path-dependent volatility and the preservation of PDEs
title_sort path dependent volatility and the preservation of pdes
topic UCTD
url http://hdl.handle.net/2263/60823