<p><strong>ABSTRACT</strong><br />The purpose of this research to provide empirical evidence that the Model Altman , Springate , and Zmijewski is the most appropriate model for predicting bankruptcy Islamic Bank in Indonesia . The population in this study are all Islamic banks listed on the Indonesia Stock Exchange . This study uses secondary data from the financial statements of Islamic banks in 2010-2014 . Testing the hypothesis in this study using normality test, homogeneity test, and one way ANOVA test ( different test ) . The results showed that Springate model is the most appropriate model to predict the Islamic banks in Indonesia with an accuracy of 38.00 % , then Model Zmijewski with 28.00 % accuracy rate and Altman with an accuracy of 0.00 % .</p><p><br /><strong>Keywords : Altman Z-Score Model, Springate S-Score Model, Zmijewski X-Score Model.</strong></p>
Abstract
This study aims to analyze the condition of Financial Distress in retail companies listed on the Indonesian Stock Exchange in 2015-2017 using the Ohlson Model, Fulmer Model, CA-Score Model and Zavgren Model. The data used in this study was secondary data derived from the financial statements of retail companies found on the Indonesian Stock Exchange. The data analysis technique used was inferential statistics and Kruskal-Wallis test. The results of this study indicated that Ohlson's model is best at predicting Financial Distress in retail companies in Indonesia with an accuracy rate of 83.33%, CA-Score Model with 30% accuracy rate, as well as the Fulmer Model and Zavgren Model with an accuracy rate of 0.00 %
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