To date there has been significant research on the topic of financial distress prediction, due
to its relevance to various stakeholders. Beaver (1966), Altman (1968) and Ohlson (1980)
are generally regarded as the pioneers in this field of study, despite heavy criticism their
models are widely accepted and used. Studies by Grice & Ingram (2001); Grice & Dugan
(2001) and Sudarsanam & Taffler (1995) have shown that these models require to be
updated regularly with new variables and coefficients due to various factors. This study
proposes to add to the body of knowledge by developing a distress prediction model using a
classic statistical method and financial ratios, calculated on published company data of
organisations listed on the Johannesburg Stock Exchange. / Dissertation (MBA)--University of Pretoria, 2013. / zkgibs2014 / Gordon Institute of Business Science (GIBS) / MBA / Unrestricted
| Identifer | oai:union.ndltd.org:netd.ac.za/oai:union.ndltd.org:up/oai:repository.up.ac.za:2263/41983 |
| Date | January 2013 |
| Creators | Le Roux, Marrelie |
| Contributors | Marks, Jonathan, ichelp@gibs.co.za |
| Source Sets | South African National ETD Portal |
| Language | English |
| Detected Language | English |
| Type | Mini Dissertation |
| Rights | © 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. |
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