The application of data envelopment analysis method in managing companies' credit risk

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.


Keywords:
C12 ; C30 ; C67
Issue Date:
2014
Publication Type:
Journal Article
PURL Identifier:
http://purl.umn.edu/245864
Published in:
Business and Economic Horizons, Volume 10, Issue 1
Business and Economic Horizons
Page range:
60-69
Total Pages:
10
JEL Codes:
Credit scoring; credit risk; creditworthiness; Data Envelopment Analysis; technical efficiency




 Record created 2017-04-01, last modified 2017-08-29

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