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Department of Finance and Tax

Predicting extreme performers on the JSE securities exchange

Abstract

dc:description.abstract

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.

Degree

thesis:*
Grantor dc:publisher.institution
Department of Finance and Tax
Year dc:date.issued
2006

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Kornik, Jonathan
Advisor dc:contributor.advisor
  • Van Rensburg, Paul

Rights

Language dc:language.iso
eng

Identifiers

dc:identifier.*
Handle dc:identifier.uri
http://hdl.handle.net/11427/11142
OAI identifier oai:identifier
oai:open.uct.ac.za:11427/11142

Chain of custody

source
Harvested from
University of Cape Town
Base URL
open.uct.ac.za/oai/request
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
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citation

Kornik, Jonathan. Predicting extreme performers on the JSE securities exchange. Department of Finance and Tax, 2006. http://hdl.handle.net/11427/11142