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Dissertation (MBA)--University of Pretoria, 2010.
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| Format: | Thesis |
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University of Pretoria
2013
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| _version_ | 1867613626590822400 |
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| access_status_str | Open Access |
| author2 | MacKenzie, Max |
| author_browse | MacKenzie, Max |
| author_facet | MacKenzie, Max |
| collection | Thesis |
| dc_rights_str_mv | © 2008, 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, 2010. |
| format | Thesis |
| id | oai:repository.up.ac.za:2263/23222 |
| institution | University of Pretoria (South Africa) |
| last_indexed | 2026-06-10T12:39:08.341Z |
| 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 |
| publisherStr | University of Pretoria |
| record_format | dspace |
| source_str | UPSpace — University of Pretoria Institutional Repository |
| spelling | oai:repository.up.ac.za:2263/23222 Performance drivers of JSE-listed gold mining companies MacKenzie, Max philippe.muteba@yahoo.com Muteba, Philippe Balanganayi UCTD Stock exchanges Mining industry Dissertation (MBA)--University of Pretoria, 2010. Several researchers and practitioners have claimed that economic value added is superior to traditional accounting measures in driving shareholder value. Other researchers have refuted these claims by supplying data in support of traditional accounting indicators such as EPS and ROE. In light of these contradicting findings, the paper endeavoured to analyse the results of JSE-listed gold mining companies. The share price was correlated to EVA, ROE, EPS, CFG and gold price. Using simple and multiple regression analyses, the paper established the strength of correlation between these different performance drivers with the share price. It also established the impact of gold price on the correlation to share price. The results suggested that EVA had the strongest correlation with the share price, with a coefficient of determination r2 = 45%. It was followed by EPS which had a positive correlation, CFG and ROE. Results also revealed that the gold price had a positive and moderate influence on the share price. Not only that the gold price affected the share price moderately, the study found that it also affected the correlation between EVA, ROE, EPS, and CFG with the share price. The impact increased in magnitude from CFG, EVA, and ROE to EPS. Copyright Gordon Institute of Business Science (GIBS) unrestricted 2013-09-06T14:47:06Z 2010-05-31 2013-09-06T14:47:06Z 2010-03-16 2010-05-31 2010-03-16 Dissertation Muteba, PB 2008, Performance drivers of JSE-listed gold mining companies, MBA dissertation, University of Pretoria, Pretoria, viewed yymmdd < http://hdl.handle.net/2263/23222 > G10/62/mh http://hdl.handle.net/2263/23222 http://upetd.up.ac.za/thesis/available/etd-03162010-121411/ © 2008, 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 Stock exchanges Mining industry Performance drivers of JSE-listed gold mining companies |
| title | Performance drivers of JSE-listed gold mining companies |
| title_full | Performance drivers of JSE-listed gold mining companies |
| title_fullStr | Performance drivers of JSE-listed gold mining companies |
| title_full_unstemmed | Performance drivers of JSE-listed gold mining companies |
| title_short | Performance drivers of JSE-listed gold mining companies |
| title_sort | performance drivers of jse listed gold mining companies |
| topic | UCTD Stock exchanges Mining industry |
| url | http://hdl.handle.net/2263/23222 http://upetd.up.ac.za/thesis/available/etd-03162010-121411/ |