The purpose of this study is to predict financial distress mining companies oil and gas companies listed on the stock exchange Indonesia during on the period of 2009-2014 using Altman Z-Score models, Grover models, and Zmijewski models. This research uses secondary data from the financial statements and the sampling technique used purposive sampling and acquired five companies selected as sample. This research analysis techniques using Altman Z-Score models, Grover models, and Zmijewski models. The result of financial distress prediction Altman Z-Score models are two bankcrupt companies predicted that Ratu Prabu Energi Tbk and Energi Mega Persada Tbk. The result of financial distress prediction Grover models are two bankcrupt companies pred...
Abstract:The purpose of this research is to know the model prediction of financial distress which ar...
Financial Distress is a condition where the company experiences a decline in financial performance a...
This study aims to determine and predict the existence of financial distress in logistics and deliv...
Financial distress models need to be developed as a model of an early warning system. Such an effort...
Kondisi kesusahan keuangan dapat memiliki konsekuensi parah seperti degradasi dalam pertunjukan peru...
This study aims to determine whether there are differences between the Grover, Altman, Springate, Zm...
This study purpose to determine whether there are differences among Altman model, Springate model an...
This research is a descriptive research with a quantitative approach. The sampling technique used pu...
This research aims to determine the level of bankruptcy of the company and to see if the Altman rati...
This research aims to find predictors model of Financial Distress which are the most accurate in pre...
The purpose of this study is to analyze bankruptcy predictions (Financial Distress) with a Compariso...
This study aims to determine the potential for bankruptcy in mining companies. The method used in th...
This study compares the accuracy of the model in predicting the financial condition of a company's d...
Financial Distress is a condition of financial difficulties where if this happens to the company foa...
The purpose of this study is to determine the accuracy of the analysis financial distress of the thr...
Abstract:The purpose of this research is to know the model prediction of financial distress which ar...
Financial Distress is a condition where the company experiences a decline in financial performance a...
This study aims to determine and predict the existence of financial distress in logistics and deliv...
Financial distress models need to be developed as a model of an early warning system. Such an effort...
Kondisi kesusahan keuangan dapat memiliki konsekuensi parah seperti degradasi dalam pertunjukan peru...
This study aims to determine whether there are differences between the Grover, Altman, Springate, Zm...
This study purpose to determine whether there are differences among Altman model, Springate model an...
This research is a descriptive research with a quantitative approach. The sampling technique used pu...
This research aims to determine the level of bankruptcy of the company and to see if the Altman rati...
This research aims to find predictors model of Financial Distress which are the most accurate in pre...
The purpose of this study is to analyze bankruptcy predictions (Financial Distress) with a Compariso...
This study aims to determine the potential for bankruptcy in mining companies. The method used in th...
This study compares the accuracy of the model in predicting the financial condition of a company's d...
Financial Distress is a condition of financial difficulties where if this happens to the company foa...
The purpose of this study is to determine the accuracy of the analysis financial distress of the thr...
Abstract:The purpose of this research is to know the model prediction of financial distress which ar...
Financial Distress is a condition where the company experiences a decline in financial performance a...
This study aims to determine and predict the existence of financial distress in logistics and deliv...