PERBANDINGAN EARLY WARNING SYSTEMS (EWS) UNTUK MEMPREDIKSI KEBANGKRUTAN BANK UMUM DI INDONESIA

Authors

Liza Angelina

Document Type

Article

Abstract

This research is testing the capability of several forewarning system models to predict bank bankruptcy. We apply these models on Indonesian commercial bank data during the period of 1994/ 1995 - 1999/2000. Considering the data incompleteness and or their inexistence, our data finally contains of 74 failed-banks and 81 non failed-banks.Our result shows the Trait Recognition model (TR) is more pre-eminent than Logit and Multiple Discriminant Analysis model (MDA).Keywords : Trait Recognition (TR), Logit, Multiple Discriminant Analysis (MDA), Bank BankruptcyJEL: C25, C35, G21, G33

Recommended Citation

Angelina, Liza (2004) "PERBANDINGAN EARLY WARNING SYSTEMS (EWS) UNTUK MEMPREDIKSI KEBANGKRUTAN BANK UMUM DI INDONESIA," Bulletin of Monetary Economics and Banking: Vol. 7: No. 3, Article 1.
DOI: https://doi.org/10.21098/bemp.v7i3.120
Available at: https://bulletin.bmeb-bi.org/bmeb/vol7/iss3/1

First Page

461

Last Page

484

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License

Country

Indonesia

Affiliation

Universitas Muhammadiyah Bengkulu