@article{Ferus:245864,
      recid = {245864},
      author = {Ferus, Anna},
      title = {The application of data envelopment analysis method in  managing companies' credit risk},
      journal = {Business and Economic Horizons (BEH)},
      address = {2014},
      number = {1232-2016-101212},
      pages = {10},
      year = {2014},
      abstract = {The subject of the present article is a new procedure  forecasting credit risk of companies in Polish economic  environment. What favors the suggested approach is the fact  that in Poland, unlike in western countries, DEA method has  not yet been implemented in order to assess credit risk  that companies face. The research described in the article  has been conducted on the basis of comparison of suggested  DEA method with currently used procedures, namely point  method, discriminative analysis and linear regression. In  order to verify and compare the efficiency of various  methods of company credit risk estimation the efficiency of  classification of companies has also been examined. The  study has involved an analyzed sample (a teaching sample)  as well as a test sample which was not taken in model  building. Considering the research, it can be concluded  that DEA method facilitates forecasting financial problems,  including bankruptcy of companies in Polish economic  conditions, and its efficiency is comparable or even  greater than approaches implemented so far. The DEA  methodology was found to be successful within the credit  evaluation process, however it might not be used as a  standalone tool for this purpose, but it can offer valuable  insight to the loan officer or the analyst facing the  credit approval decision.},
      url = {http://ageconsearch.umn.edu/record/245864},
      doi = {https://doi.org/10.22004/ag.econ.245864},
}