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Bankruptcy prediction based on the debt ratio
Brîndescu-Olariu, Daniel - In: Theoretical and applied economics : GAER review 23 (2016) 2, pp. 145-156
Persistent link: https://www.econbiz.de/10011564451
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Sensitivity of bankruptcy prediction models to the change in econometric methods
Singh, Bhanu Pratap; Mishra, Alok Kumar - In: Theoretical and applied economics : GAER review 26 (2019) 3/620, pp. 71-86
Persistent link: https://www.econbiz.de/10012174251
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Bankruptcy prediction logit model developed on Romanian paired sample
Brîndescu-Olariu, Daniel - In: Theoretical and applied economics : GAER review 24 (2017) 1, pp. 5-22
Persistent link: https://www.econbiz.de/10011786243
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Les symptômes de la faillite : le cas de la Belgique
Brédart, Xavier - In: L' Actualité économique : revue trimest. 90 (2014) 2, pp. 105-119
Persistent link: https://www.econbiz.de/10010482421
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Early warning models of financial distress : case study of the Romanian firms listed on RASDAQ
Andreica, Mǎdǎlina Ecaterina - In: Theoretical and applied economics : GAER review 20 (2013) 5, pp. 7-14
Persistent link: https://www.econbiz.de/10009754111
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Predicting bankruptcy in Pakistan
Rashid, Abdul; Abbas, Qaiser - In: Theoretical and applied economics : GAER review 18 (2011) 9, pp. 103-128
Persistent link: https://www.econbiz.de/10009673412
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Using quantitative data analysis techniques for bankruptcy risk estimation for corporations
Armeanu, Ştefan Daniel; Vintilǎ, Georgeta; Moscalu, … - In: Theoretical and applied economics : GAER review 19 (2012) 1, pp. 97-112
Persistent link: https://www.econbiz.de/10009675104
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A Deep Neural Network (DNN) based classification model in application to loan default prediction
Bayraci, Selçuk; Susuz, Orkun - In: Theoretical and applied economics : GAER review 26 (2019) 4/621, pp. 75-84
Persistent link: https://www.econbiz.de/10012431899