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Logistic Regression As A Tool For Determination Of The Probability Of Default For Enterprises



    () (University of Zilina, Faculty of Operation and Economics of Transport and Communications, Slovak Republic)

  • Maria KOVACOVA

    () (University of Zilina, Faculty of Operation and Economics of Transport and Communications, Slovak Republic)


In a rapidly changing world it is necessary to adapt to new conditions. From a day to day approaches can vary. For the proper management of the company it is essential to know the financial situation. Assessment of the company financial health can be carried out by financial analysis which provides a number of methods how to evaluate the company financial health. Analysis indicators are often included in the company assessment, in obtaining bank loans and other financial resources to ensure the functioning of the company. As company focuses on the future and its planning, it is essential to forecast the future financial situation. According to the results of company´s financial health prediction, the company decides on the extension or limitation of its business. It depends mainly on the capabilities of company´s management how they will use information obtained from financial analysis in practice. The findings of logistic regression methods were published firstly in the 60s, as an alternative to the least squares method. The essence of logistic regression is to determine the relationship between being explained (dependent) variable and explanatory (independent) variables. The basic principle of this static method is based on the regression analysis, but unlike linear regression, it can predict the probability of a phenomenon that has occurred or not. The aim of this paper is to determine the probability of bankruptcy enterprises.

Suggested Citation

  • Erika SPUCHLAKOVA & Maria KOVACOVA, 2017. "Logistic Regression As A Tool For Determination Of The Probability Of Default For Enterprises," Scientific Bulletin - Economic Sciences, University of Pitesti, vol. 16(2), pages 41-47.
  • Handle: RePEc:pts:journl:y:2017:i:2:p:41-47

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    References listed on IDEAS

    1. Bianco, Ana M. & Martínez, Elena, 2009. "Robust testing in the logistic regression model," Computational Statistics & Data Analysis, Elsevier, vol. 53(12), pages 4095-4105, October.
    2. Ohlson, Ja, 1980. "Financial Ratios And The Probabilistic Prediction Of Bankruptcy," Journal of Accounting Research, Wiley Blackwell, vol. 18(1), pages 109-131.
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    More about this item


    Enterprise; Logistic regression; Probability of default.;

    JEL classification:

    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
    • G24 - Financial Economics - - Financial Institutions and Services - - - Investment Banking; Venture Capital; Brokerage
    • G28 - Financial Economics - - Financial Institutions and Services - - - Government Policy and Regulation


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