Tax Arrears Versus Financial Ratios in Bankruptcy Prediction
| Autor: | Art Andresson, Oliver Lukason |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: |
education.field_of_study
05 social sciences Population Financial ratio 02 engineering and technology payment defaults Logistic regression Bankruptcy Multilayer perceptron Arrears 0502 economics and business 0202 electrical engineering electronic engineering information engineering Econometrics Bankruptcy prediction Economics ddc:330 020201 artificial intelligence & image processing education financial ratios Practical implications 050203 business & management bankruptcy prediction tax arrears |
| Zdroj: | Journal of Risk and Financial Management Volume 12 Issue 4 |
| ISSN: | 1911-8074 |
| DOI: | 10.3390/jrfm12040187 |
| Popis: | This paper aims to compare the usefulness of tax arrears and financial ratios in bankruptcy prediction. The analysis is based on the whole population of Estonian bankrupted and survived SMEs from 2013 to 2017. Logistic regression and multilayer perceptron are used as the prediction methods. The results indicate that closer to bankruptcy, tax arrears&rsquo information yields a higher prediction accuracy than financial ratios. A combined model of tax arrears and financial ratios is more useful than the individual models. The results enable us to outline several theoretical and practical implications. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|