ANALISIS MODEL RGEC DALAM MEMPREDIKSI FINANCIAL DISTRESS PADA BANK CAMPURAN DI INDONESIA
Daftar Isi:
- This study aimed to determine the empirical evidence of the results of the modelanalysis of RGEC (Risk profile, Good Corporate Governance, Capital) in predicting financial distress in the Mixed Bank in Indonesia from 2012-2014. Risk profile factor is measured NPL and LDR ratio, GCG factor assessed using a composite value, Earning Factor measured using ROA and NIM, Capital factors were assessed using CAR. The sample used in this study were 11 bank mixture that exist in Indonesia, sampling techniques that used in this study ispurposive sampling technique, analysing method used to test the hypothesis is logistic regression. The results of this study indicate that the ratio of NPL, LDR , GCG, ROA, CAR can not be used to predict financial distress in joint venture bank with a significance value above 0.05 (5%), while the ratio of NIM can be used to predict financial distress because under value 0.05 (5%) , Keywords: RGEC, financial distress and logistic regression