Predictive Power of Financial Ratios in Business Failure: Evidence from UK Companies Using Logistic Regression
THIS PAPER EXAMINES THE PREDICTIVE POWER BY FINANCIAL RATIOS IN BUSINESS FAILURE FOR A SAMPLE OF 216 UK COMPANIES BETWEEN 2003 AND 2007. EMPIRICAL RESULTS SHOW THAT THE MOST IMPORTANT DETERMINANTS OF BANKRUPTCY ARE SIZE, PROFITABILITY, LIQUIDITY AND CASH FLOW POSITION. THE PREDICTIVE POWER OF THE LO...
| Main Author: | |
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| Format: | Dissertation (University of Nottingham only) |
| Language: | English |
| Published: |
2012
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| Online Access: | https://eprints.nottingham.ac.uk/25620/ |
| _version_ | 1848793019690516480 |
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| author | Zhao, X |
| author_facet | Zhao, X |
| author_sort | Zhao, X |
| building | Nottingham Research Data Repository |
| collection | Online Access |
| description | THIS PAPER EXAMINES THE PREDICTIVE POWER BY FINANCIAL RATIOS IN BUSINESS FAILURE FOR A SAMPLE OF 216 UK COMPANIES BETWEEN 2003 AND 2007. EMPIRICAL RESULTS SHOW THAT THE MOST IMPORTANT DETERMINANTS OF BANKRUPTCY ARE SIZE, PROFITABILITY, LIQUIDITY AND CASH FLOW POSITION. THE PREDICTIVE POWER OF THE LOGISTIC MODEL IS REASONABLY HIGH OF OVERALL FIVE SAMPLE YEARS PRIOR TO BUSINESS FAILURE. |
| first_indexed | 2025-11-14T18:53:39Z |
| format | Dissertation (University of Nottingham only) |
| id | nottingham-25620 |
| institution | University of Nottingham Malaysia Campus |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-14T18:53:39Z |
| publishDate | 2012 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | nottingham-256202018-01-18T06:54:19Z https://eprints.nottingham.ac.uk/25620/ Predictive Power of Financial Ratios in Business Failure: Evidence from UK Companies Using Logistic Regression Zhao, X THIS PAPER EXAMINES THE PREDICTIVE POWER BY FINANCIAL RATIOS IN BUSINESS FAILURE FOR A SAMPLE OF 216 UK COMPANIES BETWEEN 2003 AND 2007. EMPIRICAL RESULTS SHOW THAT THE MOST IMPORTANT DETERMINANTS OF BANKRUPTCY ARE SIZE, PROFITABILITY, LIQUIDITY AND CASH FLOW POSITION. THE PREDICTIVE POWER OF THE LOGISTIC MODEL IS REASONABLY HIGH OF OVERALL FIVE SAMPLE YEARS PRIOR TO BUSINESS FAILURE. 2012 Dissertation (University of Nottingham only) NonPeerReviewed application/pdf en https://eprints.nottingham.ac.uk/25620/1/dissertation_ZhaoXin.pdf Zhao, X (2012) Predictive Power of Financial Ratios in Business Failure: Evidence from UK Companies Using Logistic Regression. [Dissertation (University of Nottingham only)] (Unpublished) FINANCIAL RATIOS BUSINESS FAILURE LOGISTIC REGRESSION |
| spellingShingle | FINANCIAL RATIOS BUSINESS FAILURE LOGISTIC REGRESSION Zhao, X Predictive Power of Financial Ratios in Business Failure: Evidence from UK Companies Using Logistic Regression |
| title | Predictive Power of Financial Ratios in Business Failure: Evidence from UK Companies Using Logistic Regression |
| title_full | Predictive Power of Financial Ratios in Business Failure: Evidence from UK Companies Using Logistic Regression |
| title_fullStr | Predictive Power of Financial Ratios in Business Failure: Evidence from UK Companies Using Logistic Regression |
| title_full_unstemmed | Predictive Power of Financial Ratios in Business Failure: Evidence from UK Companies Using Logistic Regression |
| title_short | Predictive Power of Financial Ratios in Business Failure: Evidence from UK Companies Using Logistic Regression |
| title_sort | predictive power of financial ratios in business failure: evidence from uk companies using logistic regression |
| topic | FINANCIAL RATIOS BUSINESS FAILURE LOGISTIC REGRESSION |
| url | https://eprints.nottingham.ac.uk/25620/ |