Prediction of insolvency using logistic regression
نویسندگان
چکیده
Purpose: In this paper, the authors try to develop a model for predicting insolvency of trading companies from Republic Srpska. The research seeks determine statistically most significant financial indicator in Methodology: data sample paper consists yearly 2017 2020 two hundred Binary logistic regression was used model. Results: As result research, created that successfully classifies 82.9% solvent and 80% insolvent companies, with general efficiency rate 81.4%. Conclusion: Based on empirical results, we can conclude hypothesis has been confirmed LR be formed basis selected indicators as tool
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ژورنال
عنوان ژورنال: Ekonomski Vjesnik
سال: 2023
ISSN: ['1847-2206', '0353-359X']
DOI: https://doi.org/10.51680/ev.36.1.10