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Predicting extreme performers on the JSE securities exchange

Includes bibliographical references.

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Bibliographic Details
Main Author: Kornik, Jonathan
Other Authors: Van Rensburg, Paul
Format: Thesis
Language:English
Published: Department of Finance and Tax 2015
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access_status_str Open Access
author Kornik, Jonathan
author2 Van Rensburg, Paul
author_browse Kornik, Jonathan
Van Rensburg, Paul
author_facet Van Rensburg, Paul
Kornik, Jonathan
author_sort Kornik, Jonathan
collection Thesis
description Includes bibliographical references.
format Thesis
id oai:open.uct.ac.za:11427/11142
institution University of Cape Town (South Africa)
language eng
last_indexed 2026-06-10T12:34:03.682Z
license_str Not specified — see source repository
provenance_str_mv Harvested via OAI-PMH from UCTD — University of Cape Town Open Access Repository
publishDate 2015
publishDateRange 2015
publishDateSort 2015
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:11427/11142 Predicting extreme performers on the JSE securities exchange Kornik, Jonathan Van Rensburg, Paul Finance Includes bibliographical references. In this context, this thesis builds on the prior literature on extreme performance by Reinganum (1988), Glickman, DiRienzo and Ochman (2001), O'Neil (2002) and Dong, Duan and Jang (2003), where an extreme winner (loser) is a stock which at least doubles (halves) in a twelve month period. The research is conducted on the JSE Securities Exchange over the ten year period from January 1995 until December 2004. The dataset employed contains monthly data for 213 companies listed on this exchange, incorporating 7807 (5397) unique company months of extreme gain (loss). The data are adjusted for look-ahead bias but not survivorship bias. 2015-01-03T05:45:51Z 2015-01-03T05:45:51Z 2006 Master Thesis Masters MCom http://hdl.handle.net/11427/11142 eng application/pdf Department of Finance and Tax Faculty of Commerce University of Cape Town
spellingShingle Finance
Kornik, Jonathan
Predicting extreme performers on the JSE securities exchange
thesis_degree_str Master's
title Predicting extreme performers on the JSE securities exchange
title_full Predicting extreme performers on the JSE securities exchange
title_fullStr Predicting extreme performers on the JSE securities exchange
title_full_unstemmed Predicting extreme performers on the JSE securities exchange
title_short Predicting extreme performers on the JSE securities exchange
title_sort predicting extreme performers on the jse securities exchange
topic Finance
url http://hdl.handle.net/11427/11142
work_keys_str_mv AT kornikjonathan predictingextremeperformersonthejsesecuritiesexchange