Using fundamental, market and macroeconomic variables to predict financial distress: A study of companies listed on the Johannesburg Stock Exchange
Journal of Economic and Financial Sciences
| Field | Value | |
| Title | Using fundamental, market and macroeconomic variables to predict financial distress: A study of companies listed on the Johannesburg Stock Exchange | |
| Creator | Sabela, Sibusiso W. Brummer, Leon M. Hall, John H. Wolmarans, Hendrik P. | |
| Description | This study presents a three-stage approach in determining financial distress of companies listed on the Johannesburg Stock Exchange. A novel feature of the present study is that it deviates from a binary classification of corporate distress prediction to present a multinomial outcome where the model predicts distressed, depressed and healthy companies. The research results show an improvement in the prediction accuracy rate when fundamental data is combined with market-based data. However, the further addition of macroeconomic indicators does not enhance the prediction accuracy. | |
| Publisher | AOSIS | |
| Date | 2018-04-24 | |
| Identifier | 10.4102/jef.v11i1.168 | |
| Source | Journal of Economic and Financial Sciences; Vol 11, No 1 (2018); 11 pages 2312-2803 1995-7076 | |
| Language | eng | |
| Relation |
The following web links (URLs) may trigger a file download or direct you to an alternative webpage to gain access to a publication file format of the published article:
https://jefjournal.org.za/index.php/jef/article/view/168/250
https://jefjournal.org.za/index.php/jef/article/view/168/249
https://jefjournal.org.za/index.php/jef/article/view/168/251
https://jefjournal.org.za/index.php/jef/article/view/168/242
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