EVALUATION OF PREDICTION ACCURACY MODELS FOR BANKRUPTCY IN INDONESIAN BANKS
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...
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| Format: | Article |
| Language: | English |
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“Victor Slăvescu” Centre for Financial and Monetary Research
2023-06-01
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| Series: | Financial Studies |
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| Online Access: | http://fs.icfm.ro/Paper03.FS2.2023.pdf |
| _version_ | 1797653068506988544 |
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| author | Adi GUNANTO |
| author_facet | Adi GUNANTO |
| author_sort | Adi GUNANTO |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-11T16:38:03Z |
| format | Article |
| id | doaj.art-5fbe212a0f274b7fa47fc1cee336c1b3 |
| institution | Directory Open Access Journal |
| issn | 2066-6071 |
| language | English |
| last_indexed | 2024-03-11T16:38:03Z |
| publishDate | 2023-06-01 |
| publisher | “Victor Slăvescu” Centre for Financial and Monetary Research |
| record_format | Article |
| series | Financial Studies |
| spelling | doaj.art-5fbe212a0f274b7fa47fc1cee336c1b32023-10-23T09:38:04Zeng“Victor Slăvescu” Centre for Financial and Monetary ResearchFinancial Studies2066-60712023-06-012725371EVALUATION OF PREDICTION ACCURACY MODELS FOR BANKRUPTCY IN INDONESIAN BANKSAdi GUNANTO0Department of Accounting, Universitas Muhammadiyah Surakarta, IndonesiaThis 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.http://fs.icfm.ro/Paper03.FS2.2023.pdfindonesia stock exchangefinancial soundnessbanking supervision |
| spellingShingle | Adi GUNANTO EVALUATION OF PREDICTION ACCURACY MODELS FOR BANKRUPTCY IN INDONESIAN BANKS Financial Studies indonesia stock exchange financial soundness banking supervision |
| title | EVALUATION OF PREDICTION ACCURACY MODELS FOR BANKRUPTCY IN INDONESIAN BANKS |
| title_full | EVALUATION OF PREDICTION ACCURACY MODELS FOR BANKRUPTCY IN INDONESIAN BANKS |
| title_fullStr | EVALUATION OF PREDICTION ACCURACY MODELS FOR BANKRUPTCY IN INDONESIAN BANKS |
| title_full_unstemmed | EVALUATION OF PREDICTION ACCURACY MODELS FOR BANKRUPTCY IN INDONESIAN BANKS |
| title_short | EVALUATION OF PREDICTION ACCURACY MODELS FOR BANKRUPTCY IN INDONESIAN BANKS |
| title_sort | evaluation of prediction accuracy models for bankruptcy in indonesian banks |
| topic | indonesia stock exchange financial soundness banking supervision |
| url | http://fs.icfm.ro/Paper03.FS2.2023.pdf |
| work_keys_str_mv | AT adigunanto evaluationofpredictionaccuracymodelsforbankruptcyinindonesianbanks |