Financial ratios as a powerful instrument to predict insolvency; a study using boosting algorithms in Colombian firms
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| Format: | Artículo científico |
| Sprache: | en |
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Universidad ICESI
2020
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| _version_ | 1876441907801882624 |
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| author | Diego Andrés Correa-Mejía |
| author_facet | Diego Andrés Correa-Mejía |
| contents | Financial ratios as a powerful instrument to predict insolvency; a study using boosting algorithms in Colombian firms Diego Andrés Correa-Mejía Mauricio Lopera-Castaño Administración y Contabilidad bankruptcy financial ratios financial analysis boosting algorithm Insolvency prediction This study is motivated by the importance of accurately predicting insolvency before it happens. The paper aims to develop an insolvency prediction model for Colombian firms with one, two and three years of anticipation through financial ratios, keeping sample structures and taking into account insolvency-related regulation. This research contributes to the literature because unlike many studies, it takes legislation into account, explains the different types of financial ratios, and uses boosting algorithms without biasing the sample. Data from 11,812 Colombian companies covering the period 2012-2016 was used. The results show accuracy above 70% for insolvency prediction with one, two and three years of anticipation. 2020 artículo científico 0123-5923 https://www.redalyc.org/articulo.oa?id=21265006010 https://www.redalyc.org/journal/212/21265006010/ https://www.redalyc.org/journal/212/21265006010/html/ https://www.redalyc.org/journal/212/21265006010/21265006010.epub https://www.redalyc.org/journal/212/21265006010/movil 10.18046/j.estger.2020.155.3588 en http://www.redalyc.org/revista.oa?id=212 Estudios Gerenciales application/pdf Universidad ICESI Estudios Gerenciales (Colombia) Num.155 Vol.36 |
| format | Artículo científico |
| id | redalyc_21265006010 |
| institution | Redalyc |
| language | en |
| publishDate | 2020 |
| publisher | Universidad ICESI |
| spellingShingle | Financial ratios as a powerful instrument to predict insolvency; a study using boosting algorithms in Colombian firms Diego Andrés Correa-Mejía Administración y Contabilidad bankruptcy financial ratios financial analysis boosting algorithm Insolvency prediction Financial ratios as a powerful instrument to predict insolvency; a study using boosting algorithms in Colombian firms Diego Andrés Correa-Mejía Mauricio Lopera-Castaño Administración y Contabilidad bankruptcy financial ratios financial analysis boosting algorithm Insolvency prediction This study is motivated by the importance of accurately predicting insolvency before it happens. The paper aims to develop an insolvency prediction model for Colombian firms with one, two and three years of anticipation through financial ratios, keeping sample structures and taking into account insolvency-related regulation. This research contributes to the literature because unlike many studies, it takes legislation into account, explains the different types of financial ratios, and uses boosting algorithms without biasing the sample. Data from 11,812 Colombian companies covering the period 2012-2016 was used. The results show accuracy above 70% for insolvency prediction with one, two and three years of anticipation. 2020 artículo científico 0123-5923 https://www.redalyc.org/articulo.oa?id=21265006010 https://www.redalyc.org/journal/212/21265006010/ https://www.redalyc.org/journal/212/21265006010/html/ https://www.redalyc.org/journal/212/21265006010/21265006010.epub https://www.redalyc.org/journal/212/21265006010/movil 10.18046/j.estger.2020.155.3588 en http://www.redalyc.org/revista.oa?id=212 Estudios Gerenciales application/pdf Universidad ICESI Estudios Gerenciales (Colombia) Num.155 Vol.36 |
| title | Financial ratios as a powerful instrument to predict insolvency; a study using boosting algorithms in Colombian firms |
| topic | Administración y Contabilidad bankruptcy financial ratios financial analysis boosting algorithm Insolvency prediction |
| url | https://www.redalyc.org/articulo.oa?id=21265006010 https://www.redalyc.org/journal/212/21265006010/ https://www.redalyc.org/journal/212/21265006010/html/ https://www.redalyc.org/journal/212/21265006010/21265006010.epub https://www.redalyc.org/journal/212/21265006010/movil |