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School of Economics

Do CAPM anomaly variables provide real-time tradable opportunities on the JSE

Abstract

dc:description.abstract

This study applies the recursive out-of-sample methodology of Cooper et al. (2005) to determine whether CAPM anomaly variables provide real-time tradable opportunities on the Johannesburg Stock Exchange (JSE). The three predictor variables selected on the basis of the South African literature (size, earnings yield and one-year lagged returns) fail to show any statistical evidence of predictability in realtime.

Degree

thesis:*
Grantor dc:publisher.institution
School of Economics
Year dc:date.issued
2005

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Bartens, Ryan
Advisor dc:contributor.advisor
  • Hassan, Shakill

Rights

Language dc:language.iso
eng

Identifiers

dc:identifier.*
Handle dc:identifier.uri
http://hdl.handle.net/11427/5763
OAI identifier oai:identifier
oai:open.uct.ac.za:11427/5763

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

Bartens, Ryan. Do CAPM anomaly variables provide real-time tradable opportunities on the JSE. School of Economics, 2005. http://hdl.handle.net/11427/5763