Corporate Failure Prediction Model of UK Wholesale Industry
The target of this research is to develop a corporate failure prediction model for UK wholesales industries with recent ten year data. Different time period and techniques are compared to look for the best model. Non-financial variables are also added to see if they can improve the prediction power....
| Main Author: | |
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| Format: | Dissertation (University of Nottingham only) |
| Language: | English |
| Published: |
2009
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| Online Access: | https://eprints.nottingham.ac.uk/23041/ |
| _version_ | 1848792498950897664 |
|---|---|
| author | Li, Cong |
| author_facet | Li, Cong |
| author_sort | Li, Cong |
| building | Nottingham Research Data Repository |
| collection | Online Access |
| description | The target of this research is to develop a corporate failure prediction model for UK wholesales industries with recent ten year data. Different time period and techniques are compared to look for the best model. Non-financial variables are also added to see if they can improve the prediction power. The result shows that discriminant analysis model with change per year of each variables has the best prediction on failed firms. Models from multiple period data are not necessarily better than single period model. And non-financial variables tested are not significant in failure prediction. |
| first_indexed | 2025-11-14T18:45:22Z |
| format | Dissertation (University of Nottingham only) |
| id | nottingham-23041 |
| institution | University of Nottingham Malaysia Campus |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-14T18:45:22Z |
| publishDate | 2009 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | nottingham-230412018-01-19T04:26:54Z https://eprints.nottingham.ac.uk/23041/ Corporate Failure Prediction Model of UK Wholesale Industry Li, Cong The target of this research is to develop a corporate failure prediction model for UK wholesales industries with recent ten year data. Different time period and techniques are compared to look for the best model. Non-financial variables are also added to see if they can improve the prediction power. The result shows that discriminant analysis model with change per year of each variables has the best prediction on failed firms. Models from multiple period data are not necessarily better than single period model. And non-financial variables tested are not significant in failure prediction. 2009-09-21 Dissertation (University of Nottingham only) NonPeerReviewed application/pdf en https://eprints.nottingham.ac.uk/23041/1/Cong_Li_MA_Dissertation.pdf Li, Cong (2009) Corporate Failure Prediction Model of UK Wholesale Industry. [Dissertation (University of Nottingham only)] (Unpublished) |
| spellingShingle | Li, Cong Corporate Failure Prediction Model of UK Wholesale Industry |
| title | Corporate Failure Prediction Model of UK Wholesale Industry |
| title_full | Corporate Failure Prediction Model of UK Wholesale Industry |
| title_fullStr | Corporate Failure Prediction Model of UK Wholesale Industry |
| title_full_unstemmed | Corporate Failure Prediction Model of UK Wholesale Industry |
| title_short | Corporate Failure Prediction Model of UK Wholesale Industry |
| title_sort | corporate failure prediction model of uk wholesale industry |
| url | https://eprints.nottingham.ac.uk/23041/ |