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The Altman corporation failure prediction model : applied among South African medical schemes
Includes bibliographical references.
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| Main Author: | |
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| Other Authors: | |
| Format: | Thesis |
| Language: | English |
| Published: |
Department of Finance and Tax
2015
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| _version_ | 1867614252616908800 |
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| access_status_str | Open Access |
| author | Arens, Fanelo James |
| author2 | West, Darron |
| author_browse | Arens, Fanelo James West, Darron |
| author_facet | West, Darron Arens, Fanelo James |
| author_sort | Arens, Fanelo James |
| collection | Thesis |
| description | Includes bibliographical references. |
| format | Thesis |
| id | oai:open.uct.ac.za:11427/13084 |
| institution | University of Cape Town (South Africa) |
| language | eng |
| last_indexed | 2026-06-10T12:49:05.675Z |
| license_str | Not specified — see source repository |
| provenance_str_mv | Harvested via OAI-PMH from UCTD — University of Cape Town Open Access Repository |
| publishDate | 2015 |
| publishDateRange | 2015 |
| publishDateSort | 2015 |
| publisher | Department of Finance and Tax |
| publisherStr | Department of Finance and Tax |
| record_format | dspace |
| source_str | UCTD — University of Cape Town Open Access Repository |
| spelling | oai:open.uct.ac.za:11427/13084 The Altman corporation failure prediction model : applied among South African medical schemes Arens, Fanelo James West, Darron Financial Management Includes bibliographical references. This study has a number of interrelated objectives that seek to understand and contextualize the Altman bankruptcy prediction model in the setting of the South African medical schemes over a ten year period (2002 to 2011). The main objective of this study is to validate the Altman Z₂ model amongst the medical schemes in South Africa; in terms of accurately classifying Z₂-scores of ≤ 1.23 and ≥ 2.9 into the a priori groups of failed and non-failed schemes. The average classification rates in the period 2002 to 2011 are as follows: 82% accuracy rate and 17.9% error rate. A linear trend line inserted in the graph shows the accuracy improving from 72% to 91% between the period 2003/2004 to 2011/2012. This outcome is consistent with the conclusion in previous studies (Aziz and Humayon, 2006: 27) that showed the accuracy rates in most failure prediction studies to be as follows: 84%, 88%, and 85% for statistical models, AEIS models and theoretical models respectively. Although this study validated the Altman model, further studies are required to test the rest of the study objectives under conditions where some of the assumptions are revised. 2015-06-18T13:07:24Z 2015-06-18T13:07:24Z 2014 Master Thesis Masters MCom http://hdl.handle.net/11427/13084 eng application/pdf Department of Finance and Tax Faculty of Commerce University of Cape Town |
| spellingShingle | Financial Management Arens, Fanelo James The Altman corporation failure prediction model : applied among South African medical schemes |
| thesis_degree_str | Master's |
| title | The Altman corporation failure prediction model : applied among South African medical schemes |
| title_full | The Altman corporation failure prediction model : applied among South African medical schemes |
| title_fullStr | The Altman corporation failure prediction model : applied among South African medical schemes |
| title_full_unstemmed | The Altman corporation failure prediction model : applied among South African medical schemes |
| title_short | The Altman corporation failure prediction model : applied among South African medical schemes |
| title_sort | altman corporation failure prediction model applied among south african medical schemes |
| topic | Financial Management |
| url | http://hdl.handle.net/11427/13084 |
| work_keys_str_mv | AT arensfanelojames thealtmancorporationfailurepredictionmodelappliedamongsouthafricanmedicalschemes AT arensfanelojames altmancorporationfailurepredictionmodelappliedamongsouthafricanmedicalschemes |