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Seperating the winners from the losers : a model for stock selection

Dissertation (MBA)--University of Pretoria, 2014.

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Other Authors: Miller, Craig
Format: Thesis
Language:English
Published: University of Pretoria 2015
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access_status_str Open Access
author2 Miller, Craig
author_browse Miller, Craig
author_facet Miller, Craig
collection Thesis
dc_rights_str_mv © 2014 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 Pretoria.
description Dissertation (MBA)--University of Pretoria, 2014.
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institution University of Pretoria (South Africa)
language English
last_indexed 2026-06-10T12:39:26.678Z
license_str Other — see source repository
provenance_str_mv Harvested via OAI-PMH from UPSpace — University of Pretoria Institutional Repository
publishDate 2015
publishDateRange 2015
publishDateSort 2015
publisher University of Pretoria
publisherStr University of Pretoria
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source_str UPSpace — University of Pretoria Institutional Repository
spelling oai:repository.up.ac.za:2263/45239 Seperating the winners from the losers : a model for stock selection Miller, Craig ichelp@gibs.co.za Morar, Keshni UCTD Price-earnings ratio Stock exchanges Corporate governance Investments Quantitative research Dissertation (MBA)--University of Pretoria, 2014. Through a multiple regression analysis on a number of financial and non-financial variables with the actual share growth over a period of 36 months, it was found that no correlation or relationship exists between share growth and almost all variables commonly used as screens for purposed of identifying stocks to potentially invest in for the longer term. The four commonly selected value investing ratios explored in this study are the price-earnings ratio, dividend yield, price-to-sales ratio and book-to-sales ratio. Only two of these ratios were found to have a relationship to the growth in stock prices, albeit, very weak. If anything, this study has shown the importance of length historical data when trying to determine relationships and trends in order to determine whether a company is has investment potential.The non-financial information used consisted of the environmental, social and governance scores or ratings as evaluated by independent analysts across companies in the industry. This is a relative new measure and therefore lacks sufficient history to enable credible conclusion of its impact on the growth of a share or the return investors over the short to medium term. pagibs2015 Gordon Institute of Business Science (GIBS) Unrestricted 2015-05-22T11:57:33Z 2015-05-22T11:57:33Z 2015-03-24 2014 Mini Dissertation Morar, K. (2014). Separating the winners from the losers: a model for stock selection (MBA mini-dissertation).Gordon Institute of Business Science, University of Pretoria. Retrieved from http://repository.up.ac.za/handle/2263/1818 http://hdl.handle.net/2263/45239 en © 2014 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 Pretoria. application/pdf University of Pretoria
spellingShingle UCTD
Price-earnings ratio
Stock exchanges
Corporate governance
Investments
Quantitative research
Seperating the winners from the losers : a model for stock selection
title Seperating the winners from the losers : a model for stock selection
title_full Seperating the winners from the losers : a model for stock selection
title_fullStr Seperating the winners from the losers : a model for stock selection
title_full_unstemmed Seperating the winners from the losers : a model for stock selection
title_short Seperating the winners from the losers : a model for stock selection
title_sort seperating the winners from the losers a model for stock selection
topic UCTD
Price-earnings ratio
Stock exchanges
Corporate governance
Investments
Quantitative research
url http://hdl.handle.net/2263/45239