| This study was conducted to examine the impact of risk profile on Risk-Base Bank Rating to the health-level prediction of public listed banking in Indonesia using binary logistic regression analysis. The proxy risk profile that serve as an independent variable is the ratio of non performing loan to total loan, the ratio of allowance for impairment losses to total loan, market position of banks in the industry as measured by the credit market share granted to the debtor, the ratio of net open position to total equity, Exposure of IRRBB based on Gap, and the ratio of primary liquid assets and secondary liquid assets to total assets. While the dependent variable was obtained from bankcruptcy predictor model built using multiple discriminant analysis. In forming the discriminant model, ratio that serve as independent variable are the ratios in Altman and Springate model. Based on the result of this study, it could be concluded that the ratio of non performing loan to total loan and the ratio of primary liquid assets and secondary liquid assets to total assets is statistically significant to the health-level prediction of bank with negative impact. |