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2014 | vol. 10, iss. 1 | 60--69
Tytuł artykułu

The Application of Data Envelopment Analysis Method in Managing Companies' Credit Risk

Autorzy
Treść / Zawartość
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
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 stand alone tool for this purpose, but it can offer valuable insight to the loan officer or the analyst facing the credit approval decision. (original abstract)
Rocznik
Strony
60--69
Opis fizyczny
Twórcy
autor
  • Rzeszow University of Technology, Poland
Bibliografia
  • Banker, R.D., Charnes, A., Cooper, W.W., 1984. Some models for estimating technical and scale inefficiencies in data development analysis, Management Science vol. 30, pp.1078-1092, http://dx.doi.org/10.1287/mnsc.30.9.1078
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  • Eemrouznejad, A., Thanassoulis, E., 1996. An extensive bibliography of Data Envelopment Analysis (DEA), Journals papers, Working Paper, University of Warwick, Vol. II, pp.1-21
  • Emel, A.B., Oral, M., Reisman, A., Yolalan, R., 2003. A credit scoring approach for the commercial banking sector, Socio-Economic Planning Sciences vol. 37, pp.103-123, http://dx.doi.org/10.1016/S0038-0121(02)00044-7
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  • Feruś A., 2008. The DEA metod in managing the credit risk of companies (in:) Ekonomika, 84/2008, Vilnius University, Vilnius, pp.109-118 (b)
  • Gattoufi, S., Oral, M., Reisman, A., 2004. A taxonomy for Data Envelopment Analysis, Socio-Economic Planning Sciences vol. 38 (2-3), pp.141-58,http://dx.doi.org/10.1016/S0038-0121(03)00022-3
  • Gospodarowicz, A., 2004. Możliwości wykorzystania metody DEA do oceny ryzyka kredytowego w kontekście Nowej Umowy Kapitałowej (in:) Zeliaś A. (ed.), Przestrzenno-czasowe modelowanie i prognozowanie zjawisk gospodarczych, Wydawnictwo Akademii Ekonomicznej w Krakowie, Kraków, pp.119-129
  • Gospodarowicz, A. (Ed.) 2002. Analiza i ocena banków oraz ich oddziałów, Wydawnictwo Akademii Ekonomicznej we Wrocławiu, Wrocław, pp.56
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  • Kao, L.J., Lu, Ch.J., Chiu, Ch.Ch., 2011. Efficiency measurement using independent component analysis and data envelopment analysis, European Journal of Operational Research vol. 210, pp.310-317, http://dx.doi.org/10.1016/j.ejor.2010.09.016
  • Liu, John, S., Lu, L.Y.Y., Lu, Wen-Min, Lin, Bruce J.Y., 2013. Data envelopment analysis 1978-2010: A citation-based literature survey, Omega vol. 41, pp.3-15, http://dx.doi.org/10.1016/j.omega.2010.12.006
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Typ dokumentu
Bibliografia
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