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Path-dependent volatility: an application to the South African market

Industry and academia have thus far focussed on three classes of volatility models, namely, constant volatility, local volatility and stochastic volatility. Pathdependent volatility models are a lesser known class of models which possess the key characteristic of completeness together with the abili...

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Main Author: Sookdeo, Shivan
Other Authors: De Kock, Johan
Format: Thesis
Language:English
Published: Division of Actuarial Science 2018
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access_status_str Open Access
author Sookdeo, Shivan
author2 De Kock, Johan
author_browse De Kock, Johan
Sookdeo, Shivan
author_facet De Kock, Johan
Sookdeo, Shivan
author_sort Sookdeo, Shivan
collection Thesis
description Industry and academia have thus far focussed on three classes of volatility models, namely, constant volatility, local volatility and stochastic volatility. Pathdependent volatility models are a lesser known class of models which possess the key characteristic of completeness together with the ability to generate a wide range of volatility dynamics with respect to the underlying asset (Guyon, 2014). This dissertation highlights the usefulness and practicality of these models for application in the South African market, while drawing comparisons with other widely used models. The tests cover both pricing and hedging of vanilla European options on the FTSE JSE Top 40. The Black-Scholes, Heston and CEV models are used as comparative benchmarks for each of the other classes of models.
format Thesis
id oai:open.uct.ac.za:11427/27100
institution University of Cape Town (South Africa)
language eng
last_indexed 2026-06-10T12:33:19.547Z
license_str Not specified — see source repository
provenance_str_mv Harvested via OAI-PMH from UCTD — University of Cape Town Open Access Repository
publishDate 2018
publishDateRange 2018
publishDateSort 2018
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:11427/27100 Path-dependent volatility: an application to the South African market Sookdeo, Shivan De Kock, Johan Mathematical Finance Industry and academia have thus far focussed on three classes of volatility models, namely, constant volatility, local volatility and stochastic volatility. Pathdependent volatility models are a lesser known class of models which possess the key characteristic of completeness together with the ability to generate a wide range of volatility dynamics with respect to the underlying asset (Guyon, 2014). This dissertation highlights the usefulness and practicality of these models for application in the South African market, while drawing comparisons with other widely used models. The tests cover both pricing and hedging of vanilla European options on the FTSE JSE Top 40. The Black-Scholes, Heston and CEV models are used as comparative benchmarks for each of the other classes of models. 2018-01-30T10:26:21Z 2018-01-30T10:26:21Z 2017 Master Thesis Masters MPhil http://hdl.handle.net/11427/27100 eng application/pdf Division of Actuarial Science Faculty of Commerce University of Cape Town
spellingShingle Mathematical Finance
Sookdeo, Shivan
Path-dependent volatility: an application to the South African market
thesis_degree_str Master's
title Path-dependent volatility: an application to the South African market
title_full Path-dependent volatility: an application to the South African market
title_fullStr Path-dependent volatility: an application to the South African market
title_full_unstemmed Path-dependent volatility: an application to the South African market
title_short Path-dependent volatility: an application to the South African market
title_sort path dependent volatility an application to the south african market
topic Mathematical Finance
url http://hdl.handle.net/11427/27100
work_keys_str_mv AT sookdeoshivan pathdependentvolatilityanapplicationtothesouthafricanmarket