ANNs-Based Early Warning System for Indonesian Islamic Banks

ANNs-Based Early Warning System for Indonesian Islamic Banks

This research proposes a development of Early Warning System (EWS) model towards the financial performance of Islamic bank using financial ratios and macroeconomic indicators. The result of this paper is ready-to-use algorithm for the issue that needs to be solved shortly using machine learning tech...

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Bibliographic Details
Main Authors: Saiful Anwar, A.M Hasan Ali
Format: Article
Language:Indonesian
Published: Bank Indonesia 2018-01-01
Series:Bulletin Ekonomi Moneter dan Perbankan
Subjects:
Early Warning System
Artificial Neural Networks
Islamic Banks
Financial Distress
Online Access:https://www.bmeb-bi.org/index.php/BEMP/article/view/856

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