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Constructing volatility surfaces for managed funds

Includes bibliographical references

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Bibliographic Details
Main Author: Brinkman, Trevor Joseph
Other Authors: Van Rooyen, Marchand
Format: Thesis
Language:English
Published: Division of Actuarial Science 2014
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access_status_str Open Access
author Brinkman, Trevor Joseph
author2 Van Rooyen, Marchand
author_browse Brinkman, Trevor Joseph
Van Rooyen, Marchand
author_facet Van Rooyen, Marchand
Brinkman, Trevor Joseph
author_sort Brinkman, Trevor Joseph
collection Thesis
description Includes bibliographical references
format Thesis
id oai:open.uct.ac.za:11427/8530
institution University of Cape Town (South Africa)
language eng
last_indexed 2026-06-10T12:32:52.713Z
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:11427/8530 Constructing volatility surfaces for managed funds Brinkman, Trevor Joseph Van Rooyen, Marchand Innocenzi, Paolo Mathematical Finance Includes bibliographical references In this dissertation, a methodology is developed for constructing a volatility surface for a managed fund by extending the work of Bakshi et al. (2003) and Taylor (2014). The power utility assumption (with constant relative risk aversion for a specific maturity) and historical returns series data are used for the identified factors in influencing the return of the fund and the fund itself. The coefficient of relative risk aversion for a specific maturity and market is estimated from quoted option prices on a market index. This is used in combination with the identified factors and fund return series to estimate the risk-neutral skewness of the fund. An optimisation procedure is then used to determine the volatility smile of the fund for a specific maturity. Thereafter, the volatility surface of the fund is constructed by repeating each step for different maturities. Although this methodology produces sensible results, the optimisation routine used is sensitive to initial values and constraints. 2014-10-17T10:09:58Z 2014-10-17T10:09:58Z 2014 Master Thesis Masters MPhil http://hdl.handle.net/11427/8530 eng application/pdf Division of Actuarial Science Faculty of Commerce University of Cape Town
spellingShingle Mathematical Finance
Brinkman, Trevor Joseph
Constructing volatility surfaces for managed funds
thesis_degree_str Master's
title Constructing volatility surfaces for managed funds
title_full Constructing volatility surfaces for managed funds
title_fullStr Constructing volatility surfaces for managed funds
title_full_unstemmed Constructing volatility surfaces for managed funds
title_short Constructing volatility surfaces for managed funds
title_sort constructing volatility surfaces for managed funds
topic Mathematical Finance
url http://hdl.handle.net/11427/8530
work_keys_str_mv AT brinkmantrevorjoseph constructingvolatilitysurfacesformanagedfunds