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Financial Distress Analysis with Altman Z Score Method and Value of SOEs Listed on BEI

机译:北方北方altman z评分法和价值的财务困境分析

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This study aims to examine and find out how the method of Altman Z-Score developed in 1984 is able to predict the level of health in state-owned enterprises go public listed in Indonesia Stock Exchange, as well as to know and test the influence of health level on the value of related companies. This study uses secondary data in the form of Financial Statements of State-Owned Enterprises Listed on BEI in 2014-2016. The population in this study are the State-Owned public companies (20 companies) listed on the Indonesia Stock Exchange in 2014-2016. While the number of samples obtained as many as 15 companies With a 3-year observation period starting from 2014 to 2016, consisting of pharmacy, energy, metal, construction, metal, bank, mining, cement, transportation, and telecommunication company. The analysis in this research using linear regression analysis. After the data was collected, the data were analyzed using SPSS program to test the Z-Score value significantly influence the partial value of the company with the t test. The result of this research shows that Altman Z-Score method applied in this research succeeded in classifying the sample of companies listed in Indonesia Stock Exchange in the category of Distress Zone, Gray Zone, Safe Zone. Other results also show that the Z-Score variable has no effect on Company Value.
机译:这项研究旨在探讨并找出Z-Score模型在1984年开发的方法是如何能够预知健康的水平,国有企业上市在印尼证券交易所上市,以及了解和测试的影响对相关公司的价值健康水平。这项研究在2014- 2016上市BEI国有企业的财务报表的形式使用辅助数据。在这项研究中人口是在2014- 2016在印尼证券交易所上市的国有上市公司(20家)。虽然有多达15家公司启动2014年至2016年,包括制药,能源,金属,建筑,金属,银行,矿业,水泥,交通运输,电信公司的3年观察期内获得的样本数量。在用线性回归分析本研究分析。被收集的数据后,将数据用SPSS程序来测试Z得分值显著用t检验影响公司的部分值进行分析。这一研究表明,Z-Score模型方法在此研究中的应用,结果成功地将遇险区,灰色区,安全区的类别中印尼证券交易所上市公司的样本进行分类。其他结果还表明,Z得分变量对公司价值没有影响。

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