The Evolution of Non-Performing Credit Limits During Crisis Period, Using Unique Accounting Data

Research Article

Vasileios Giannopoulos

Abstract

The purpose of this paper is to study the effect of independent variables in identifying non-performing loans during crisis period, using a binomial logistic regression. We use a unique data of small business loans granted by one of the four systemic banks of Greece. Specifically we study a sample of credit limits granted to micro and small enterprises. Νon-performing loans significantly increased as the recession of Greek economy deepens. Moreover we find that in general the variables affect in the same way the creation of non-performing loans during the studied period. Specifically, binomial logistic regression shows a positive correlation between non-performing loans and factors “Adverse” and “Age”. In contrast, we find a negative correlation between the probability of classifying a loan as non-performing and the independent variables “Collateral”, “Own Facilities”, “Property” and “Years of operation”. Finally the predicted performance of the binomial logistic regression reduced as the crisis deepens.

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