A Logistic Regression Model for Credit Risk of Companies in the Service Sector

Lobna Abid


Credit risk prediction is a vital issue in empirical studies as it has attracted the interests of many researchers. In the current study, a logistic regression model is used to evaluate determinants of payment default risks of companies in the service sector.

Data, which consist of six financial variables and two macro-economic variables, have been collected from the Tunisian Central Bank and World Development Indicators.

The obtained results show that debt, solvency and profitability ratios and a loan amount are the key firm-specific factor determining credit risk. Moreover, we further find that high level of inflation and the decrease of GDP growth rate are able to increase corporate credit risk.

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DOI: https://doi.org/10.20849/iref.v6i2.1179


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International Research in Economics and Finance  ISSN 2529-8038 (Print)  ISSN 2591-734X (Online)

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