A classic statistical model developed towards predicting financial distress

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.

Grantor dc:publisher

University of Pretoria

Year dc:date.issued

2013

Advisor dc:contributor.advisor

• Marks, Jonathan

• UCTD
• Process control—Statistical methods

Statement dc: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.

Language dc:language.iso

en

Handle dc:identifier.uri

http://hdl.handle.net/2263/41983

OAI identifier oai:identifier

oai:repository.up.ac.za:2263/41983