An artificial intelligence model to predict financial distress in companies listed on the Johannesburg Stock Exchange
As a prerequisite for an informed decision, a company’s financial results are undoubtedly one of the most important aspects to be considered in a financial distress prediction model. To rely purely on financial results for prediction is a risk. The dilemma is that financial variables are backward-lo...
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Language: | en |
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University of Pretoria
2018
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Online Access: | http://hdl.handle.net/2263/65515 Van der Colff, F 2017, An artificial intelligence model to predict financial distress in companies listed on the Johannesburg Stock Exchange, PhD Thesis, University of Pretoria, Pretoria, viewed yymmdd <http://hdl.handle.net/2263/65515> |