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Robust portfolio construction controlling the alpha-weight angle

Includes abstract.

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Bibliographic Details
Main Author: Bailey, Geraldine
Other Authors: Bradfield, Dave
Format: Thesis
Language:English
Published: Division of Actuarial Science 2014
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access_status_str Open Access
author Bailey, Geraldine
author2 Bradfield, Dave
author_browse Bailey, Geraldine
Bradfield, Dave
author_facet Bradfield, Dave
Bailey, Geraldine
author_sort Bailey, Geraldine
collection Thesis
description Includes abstract.
format Thesis
id oai:open.uct.ac.za:11427/5812
institution University of Cape Town (South Africa)
language eng
last_indexed 2026-06-10T12:36:30.512Z
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:11427/5812 Robust portfolio construction controlling the alpha-weight angle Bailey, Geraldine Bradfield, Dave Mathematical Finance Includes abstract. Includes bibliographical references. Estimation risk is widely seen to have a significant impact on mean-variance portfolios and is one of the major reasons the standard Markowitz theory has been criticized in practice. While several attempts to incorporate estimation risk has been considered in the past, the approach by of Golts and Jones (2009) represents an innovative approach to incorporate estimation risk in the sample estimates of the input returns and covariance matrix. In this project we discuss the theory introduced by Golts and Jones (2009) which looks at the direction and the magnitude of the vector of optimal weight and investigates them separately, with focus on the former. We demystify the theory of the authors with focus on both mathematical reasoning and practical application. We show that the distortions of the mean-variance optimization process can be quantified by considering the angle between the vector of expected returns and the vector of optimized portfolio positions. Golts and Jones (2009) call this the alpha-weight angle. We show how to control this angle by employing robust optimization techniques, which we also explore as a main focus in this project. We apply this theory to the South African market and show that we can indeed obtain portfolios with lower risk statistics especially so in times of economic crisis. 2014-07-31T12:30:06Z 2014-07-31T12:30:06Z 2013 Master Thesis Masters MPhil http://hdl.handle.net/11427/5812 eng application/pdf Division of Actuarial Science Faculty of Commerce University of Cape Town
spellingShingle Mathematical Finance
Bailey, Geraldine
Robust portfolio construction controlling the alpha-weight angle
thesis_degree_str Master's
title Robust portfolio construction controlling the alpha-weight angle
title_full Robust portfolio construction controlling the alpha-weight angle
title_fullStr Robust portfolio construction controlling the alpha-weight angle
title_full_unstemmed Robust portfolio construction controlling the alpha-weight angle
title_short Robust portfolio construction controlling the alpha-weight angle
title_sort robust portfolio construction controlling the alpha weight angle
topic Mathematical Finance
url http://hdl.handle.net/11427/5812
work_keys_str_mv AT baileygeraldine robustportfolioconstructioncontrollingthealphaweightangle