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Modelling illiquid volatility skews

Includes bibliographical references.

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Bibliographic Details
Main Author: Crowther, Servaas Marcus
Other Authors: Mahomed, Obeid
Format: Thesis
Language:English
Published: Division of Actuarial Science 2014
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access_status_str Open Access
author Crowther, Servaas Marcus
author2 Mahomed, Obeid
author_browse Crowther, Servaas Marcus
Mahomed, Obeid
author_facet Mahomed, Obeid
Crowther, Servaas Marcus
author_sort Crowther, Servaas Marcus
collection Thesis
description Includes bibliographical references.
format Thesis
id oai:open.uct.ac.za:11427/8529
institution University of Cape Town (South Africa)
language eng
last_indexed 2026-06-10T12:38:26.535Z
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 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:11427/8529 Modelling illiquid volatility skews Crowther, Servaas Marcus Mahomed, Obeid Taylor, David Mathematical Finance Includes bibliographical references. Most markets trade liquidly in options on the market index, in fact they often trade at a wide range of strike levels. Thus, using the Black-Scholes model, we can obtain the implied volatilities at the various strike levels, forming the associated implied volatility skew of the respective market under consideration. This, however, is not always feasible when it comes to the individual stocks within the market, as single stock options trade a lot less frequently. This dissertation makes use of data from the Eurozone, in particular we consider the Euro Stoxx 50 market index and its underlying constituents. Options written on the Euro Stoxx 50 and its constituents are highly liquid, and volatility skews are obtained for the market as well as for most of the single stocks within the market. I then artificially created 3 cases of illiquid markets, each with increasing degrees of sparseness mimicking various possible realities. Using principal component analysis, this dissertation aims to find an appropriate model for relating the volatility skew of the index to that of single stocks within the market in order to fill gaps in the data of the skews of the individual stocks. Results indicate that simpler models perform similarly in all scenarios of sparse- ness whereas the performance of more complex models decrease as the data becomes sparser. This indicates that basic relationships can be formed between the index and single stocks in cases with relatively low levels of trade in the market but more accurate estimates are more difficult to achieve. However, if we use the skew data, as is, as an input to the models, their performance remains by and far the same using the full data set and using monthly information. This is encouraging, as it means we can fill gaps in the individual stocks' skew data with as good a fit as if we modeled with a full set of data. 2014-10-17T10:09:57Z 2014-10-17T10:09:57Z 2014 Master Thesis Masters MPhil http://hdl.handle.net/11427/8529 eng Division of Actuarial Science Faculty of Commerce University of Cape Town
spellingShingle Mathematical Finance
Crowther, Servaas Marcus
Modelling illiquid volatility skews
thesis_degree_str Master's
title Modelling illiquid volatility skews
title_full Modelling illiquid volatility skews
title_fullStr Modelling illiquid volatility skews
title_full_unstemmed Modelling illiquid volatility skews
title_short Modelling illiquid volatility skews
title_sort modelling illiquid volatility skews
topic Mathematical Finance
url http://hdl.handle.net/11427/8529
work_keys_str_mv AT crowtherservaasmarcus modellingilliquidvolatilityskews