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Analysis of the cross-section of equity returns on the JSE Securities Exchange based on linear and nonlinear modeling techniques

Includes bibliographical references.

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Bibliographic Details
Main Author: Hodnett, Kathleen E
Other Authors: Van Rensburg, Paul
Format: Thesis
Language:English
Published: Department of Finance and Tax 2014
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access_status_str Open Access
author Hodnett, Kathleen E
author2 Van Rensburg, Paul
author_browse Hodnett, Kathleen E
Van Rensburg, Paul
author_facet Van Rensburg, Paul
Hodnett, Kathleen E
author_sort Hodnett, Kathleen E
collection Thesis
description Includes bibliographical references.
format Thesis
id oai:open.uct.ac.za:11427/10795
institution University of Cape Town (South Africa)
language eng
last_indexed 2026-06-10T12:31:41.113Z
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 Department of Finance and Tax
publisherStr Department of Finance and Tax
record_format dspace
source_str UCTD — University of Cape Town Open Access Repository
spelling oai:open.uct.ac.za:11427/10795 Analysis of the cross-section of equity returns on the JSE Securities Exchange based on linear and nonlinear modeling techniques Hodnett, Kathleen E Van Rensburg, Paul Finance Includes bibliographical references. This research investigates the relationship between firm-specific style attributes and the cross-section of equity returns on the JSE Securities Exchange (JSE) over the period from 1 January 1997 to 31 December 2007. Both linear and nonlinear expected returns forecasting models are constructed based on the cross-section of equity returns. A blended approach combining a linear modeling technique with a nonlinear artificial neural network technique is developed to identify future potential top performing shares on the JSE. 1. Both linear and nonlinear models identify book-value-to-price and cash flow-to-price as significant styles attributes that distinguish near-term future share returns on the JSE. 2. This thesis found updating the identity of attributes is equally important as updating the factor payoffs of attributes in applying the stepwise regression approach. 3. Nonlinearity on the JSE equity returns is found to complement the forecasting power of linear factor models. 4. In terms of artificial neural network modeling, the extended Kalman filter learning rule introduced in the thesis is found to outperform the traditional back-propagation approach. 5. This thesis found that updating the identity of attributes via a genetic algorithm in the nonlinear forecasting models is superior to the static nonlinear forecasting models. 6. Both linear and nonlinear models are found to be more adequate in identifying future outperformers than identifying future underperformers on the JSE. The results of the research provide for potential alpha generating stock selection techniques for active portfolio managers in the South African equity market using the blended linear-nonlinear approach. 2014-12-31T20:03:08Z 2014-12-31T20:03:08Z 2010 Doctoral Thesis Doctoral PhD http://hdl.handle.net/11427/10795 eng application/pdf Department of Finance and Tax Faculty of Commerce University of Cape Town
spellingShingle Finance
Hodnett, Kathleen E
Analysis of the cross-section of equity returns on the JSE Securities Exchange based on linear and nonlinear modeling techniques
thesis_degree_str Doctoral
title Analysis of the cross-section of equity returns on the JSE Securities Exchange based on linear and nonlinear modeling techniques
title_full Analysis of the cross-section of equity returns on the JSE Securities Exchange based on linear and nonlinear modeling techniques
title_fullStr Analysis of the cross-section of equity returns on the JSE Securities Exchange based on linear and nonlinear modeling techniques
title_full_unstemmed Analysis of the cross-section of equity returns on the JSE Securities Exchange based on linear and nonlinear modeling techniques
title_short Analysis of the cross-section of equity returns on the JSE Securities Exchange based on linear and nonlinear modeling techniques
title_sort analysis of the cross section of equity returns on the jse securities exchange based on linear and nonlinear modeling techniques
topic Finance
url http://hdl.handle.net/11427/10795
work_keys_str_mv AT hodnettkathleene analysisofthecrosssectionofequityreturnsonthejsesecuritiesexchangebasedonlinearandnonlinearmodelingtechniques