Analysis Models Of The Bankruptcy Risk In Romania’S Energy Sector
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- Mihai Bogdan PETRISOR & Dan LUPU, 2013. "The Forecast Of Bankruptcy Risk Using Altman Model," The USV Annals of Economics and Public Administration, Stefan cel Mare University of Suceava, Romania, Faculty of Economics and Public Administration, vol. 13(2(18)), pages 155-162, June.
- Pierre-Cyrille Hautcoeur & Nadine Levratto, 2006.
"Does the law alone explain the rise in bankruptcies in XIXth century France?,"
PSE Working Papers
halshs-00589125, HAL.
- Pierre-Cyrille Hautcoeur & Nadine Levratto, 2006. "Does the law alone explain the rise in bankruptcies in XIXth century France?," Working Papers halshs-00589125, HAL.
- Miguel García-Posada & Juan Mora-Sanguinetti, 2014.
"Are there alternatives to bankruptcy? A study of small business distress in Spain,"
SERIEs: Journal of the Spanish Economic Association, Springer;Spanish Economic Association, vol. 5(2), pages 287-332, August.
- Miguel García-Posada & Juan S. Mora-Sanguinetti, 2013. "Are there alternatives to bankruptcy? a study of small business distress in Spain," Working Papers 1315, Banco de España.
- Balcaen, Sofie & Ooghe, Hubert, 2006.
"35 years of studies on business failure: an overview of the classic statistical methodologies and their related problems,"
The British Accounting Review, Elsevier, vol. 38(1), pages 63-93.
- S. Balcaen & H. Ooghe, 2004. "35 years of studies on business failure: an overview of the classical statistical methodologiesand their related problems," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 04/248, Ghent University, Faculty of Economics and Business Administration.
- Magdalena Mosionek-Schweda, 2014. "The Use Of Discriminant Analysis To Predict The Bankruptcy Of Companies Listed On The Newconnect Market," Equilibrium. Quarterly Journal of Economics and Economic Policy, Institute of Economic Research, vol. 9(3), pages 87-105, September.
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