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Predicting of Banking Stability Using Machine Learning Technique of Random Forests
2021
ACMIT Proceedings
The purpose of this research is to create a predicting model of banking stability in Indonesia. Authors use a small set of explanatory indicators primarily related to the banking industry and some relevant economic variables. Among the indicators candidate to be used in this study are the indicator of banking industry, the money markets, capital markets and creditors, and the macro-economic indicator. The source of data in this research is obtained from CEIC and SEKI (Indonesian Economic and
doi:10.33555/acmit.v6i1.89
fatcat:o4qblginpfdsbkuijrgijolz4y