PERBANDINGAN EARLY WARNING SYSTEMS (EWS) UNTUK MEMPREDIKSI KEBANGKRUTAN BANK UMUM DI INDONESIA
Liza Angelina
Bulletin of Monetary Economics and Banking, 2004, vol. 7, issue 3, 461-484
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 Bankruptcy (search for similar items in EconPapers)
JEL-codes: C25 C35 G21 G33 (search for similar items in EconPapers)
Date: 2004
References: Add references at CitEc
Citations:
Downloads: (external link)
https://bulletin.bmeb-bi.org/cgi/viewcontent.cgi?article=1459&context=bmeb (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:idn:journl:v:7:y:2004:i:3d:p:461-484
DOI: 10.21098/bemp.v7i3.120
Access Statistics for this article
Bulletin of Monetary Economics and Banking is currently edited by Paresh Narayan
More articles in Bulletin of Monetary Economics and Banking from Bank Indonesia Contact information at EDIRC.
Bibliographic data for series maintained by Lutzardo Tobing ( this e-mail address is bad, please contact ) and Jimmy Kathon ().