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Improving the PEG ratio

Dissertation (MBA)--University of Pretoria, 2010.

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Other Authors: Ward, Mike
Format: Thesis
Published: University of Pretoria 2013
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access_status_str Open Access
author2 Ward, Mike
author_browse Ward, Mike
author_facet Ward, Mike
collection Thesis
dc_rights_str_mv © 2010, University of Pretoria. All rights reserved. The copyright in this work vests in the University of Pretoria. No part of this work may be reproduced or transmitted in any form or by any means, without the prior written permission of the University of Pretori
description Dissertation (MBA)--University of Pretoria, 2010.
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institution University of Pretoria (South Africa)
last_indexed 2026-06-10T12:37:48.825Z
license_str Other — see source repository
provenance_str_mv Harvested via OAI-PMH from UPSpace — University of Pretoria Institutional Repository
publishDate 2013
publishDateRange 2013
publishDateSort 2013
publisher University of Pretoria
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spelling oai:repository.up.ac.za:2263/24000 Improving the PEG ratio Ward, Mike ichelp@gibs.co.za I'Ons, Trevor Andrew UCTD Abnormal returns Benchmarking Analyst forecast Accuracy Dissertation (MBA)--University of Pretoria, 2010. The effectiveness of the PEG ratio as a valuation tool has been a topical debate between market commentators ever since being popularised by Lynch (1989). This study examines the appropriateness of the fair value criteria of 1.0 (PEGL) in comparison with a time-series based share specific benchmarking model (PEGT). Furthermore, influencing factors of analyst forecasting accuracy, namely: the number of analyst contributions, forecast dispersion and forecast horizon, were tested and compared using sub-set portfolios for each category with the objective of identifying a possible optimal PEG trading rule strategy. The outcome showed a consistent outperformance of PEGT portfolios compared to PEGL portfolios and the market benchmark. Unexpected results were obtained for the impact of analyst forecasts on the performance of the PEG ratio with additional literature review providing possible reasons that analyst optimism may have a more influencing impact on the PEG ratio than forecasting accuracy. Finally, an optimised PEG trading rule strategy delivered annual abnormal returns of 5.4% (CAGR: 19.7%) for a PEGL portfolio, versus that of 13.7% (CAGR: 28.5%) for a PEGT portfolio. The ensuing methodology appeared to single out small cap firms with above market growth prospects. Copyright Gordon Institute of Business Science (GIBS) unrestricted 2013-09-06T16:20:03Z 2011-05-23 2013-09-06T16:20:03Z 2010-11-10 2010 2011-04-17 Dissertation I'Ons, TA 2010, Improving the PEG ratio, MBA dissertation, University of Pretoria, Pretoria, viewed yymmdd < http://hdl.handle.net/2263/24000 > F11/208/ag http://hdl.handle.net/2263/24000 http://upetd.up.ac.za/thesis/available/etd-04172011-162534/ © 2010, University of Pretoria. All rights reserved. The copyright in this work vests in the University of Pretoria. No part of this work may be reproduced or transmitted in any form or by any means, without the prior written permission of the University of Pretori application/pdf University of Pretoria
spellingShingle UCTD
Abnormal returns
Benchmarking
Analyst forecast
Accuracy
Improving the PEG ratio
title Improving the PEG ratio
title_full Improving the PEG ratio
title_fullStr Improving the PEG ratio
title_full_unstemmed Improving the PEG ratio
title_short Improving the PEG ratio
title_sort improving the peg ratio
topic UCTD
Abnormal returns
Benchmarking
Analyst forecast
Accuracy
url http://hdl.handle.net/2263/24000
http://upetd.up.ac.za/thesis/available/etd-04172011-162534/