A corporate failure prediction model for non-financial South African corporates incorporating best practices used by the credit industry

 

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dc.contributor.advisor Correia, Carlos en_ZA
dc.contributor.author Rowlings, Douglas en_ZA
dc.date.accessioned 2016-07-18T12:55:43Z
dc.date.available 2016-07-18T12:55:43Z
dc.date.issued 2016 en_ZA
dc.identifier.citation Rowlings, D. 2016. A corporate failure prediction model for non-financial South African corporates incorporating best practices used by the credit industry. University of Cape Town. en_ZA
dc.identifier.uri http://hdl.handle.net/11427/20439
dc.description.abstract In the context of the current macroeconomic environment there is an expectation of an increase in South African non-financial corporate failure, where advance prediction thereof will become even more important. A number of South African non-financial corporate failures have occurred following the financial crisis. In addition, South Africa experienced a watershed moment with the first default on a non-financial corporate bond in 2013. At the same time, with the adoption of the International Financial Reporting Standards (IFRS) framework there have been significant advances in the quality of financial information which should improve its usage in predicting corporate failure. This study used the latest sample to date of listed South African non-financial corporates that met the definition of failure but limited the universe of financial information to that which was prepared under IFRS. At the same time, adjustments were made to the financial data based upon pre-selection of independent credit statistic variables most commonly used in ranking relative credit risk for non-financial corporates. Additionally, equity market price data was introduced into the model to add a forward-looking information consideration. This resulted in an eleven variable model where differentiation of corporate failure was facilitated through the use of multiple discriminant analysis. en_ZA
dc.language.iso eng en_ZA
dc.subject.other Finance and Tax en_ZA
dc.title A corporate failure prediction model for non-financial South African corporates incorporating best practices used by the credit industry en_ZA
dc.type Thesis / Dissertation en_ZA
uct.type.publication Research en_ZA
uct.type.resource Thesis en_ZA
dc.publisher.institution University of Cape Town
dc.publisher.faculty Faculty of Commerce en_ZA
dc.publisher.department Department of Finance and Tax en_ZA
dc.type.qualificationlevel Masters en_ZA
dc.type.qualificationname MCom en_ZA
uct.type.filetype Text
uct.type.filetype Image


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