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Evaluation Of Prediction Accuracy Models For Bankruptcy In Indonesian Banks

Author

Listed:
  • GUNANTO, Adi

    (Department of Accounting, Universitas Muhammadiyah Surakarta, Indonesia.)

Abstract

This research aims to find the most accurate model for predicting bankruptcy in the Indonesian banking industry. The data used are secondary data in the form of financial reports from 2018 to 2022. The methodology includes hypothesis testing using normality, homogeneity, and one-way ANOVA tests. The research results indicate that the Springate model is the most suitable model for predicting bankruptcy in the Indonesian banking industry, followed by the Zmijewski model, and the Altman model. The results obtained are relevant for financial managers and regulatory authorities, showing that the Springate model can be used to assess the financial health of the banking industry in Indonesia and to take concrete preventive measures before bankruptcy occurs.

Suggested Citation

  • GUNANTO, Adi, 2023. "Evaluation Of Prediction Accuracy Models For Bankruptcy In Indonesian Banks," Studii Financiare (Financial Studies), Centre of Financial and Monetary Research "Victor Slavescu", vol. 27(2), pages 53-71, June.
    • Handle: RePEc:vls:finstu:v:27:y:2023:i:2:p:53-71
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    More about this item

    Keywords

    Indonesia stock exchange; financial soundness; banking supervision;
    All these keywords.

    JEL classification:

    • E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy
    • G01 - Financial Economics - - General - - - Financial Crises
    • G17 - Financial Economics - - General Financial Markets - - - Financial Forecasting and Simulation

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