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Bankruptcy Prediction Analysis on Mining Sector Companies in Indonesia

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dc.contributor.author Aspiranti, Tasya
dc.date.accessioned 2019-07-05T03:55:33Z
dc.date.available 2019-07-05T03:55:33Z
dc.date.issued 2015-06-08
dc.identifier.uri http://hdl.handle.net/123456789/19331
dc.description.abstract This research aims to classify the mining sector companies based on Altman's Z-score model, and providing an analysis based on the Altman's Z-score model's financial ratios to provide a picture about the financial condition in mining sector companies in Indonesia and their viability in the future, and to find out the partial and simultaneous impact of each of the financial ratio variables In the Altman's Z-score model, namely (WC/TA), (RE/TA), (EBlT/TA), (MVE/TL), and (S/TA), toward the financial condition represented by the Z-score itself. Among 38 mining sector companies listed in Indonesia Stock Exchange (IDX), 28 companies are selected as research sample according to the purposive sampling criteria.The results of this research showed that during 3. years research period at 2010-2012, the amount of the companies that was predicted to be healthy in each year was less than half of the total sample companies and not even reach up to 50%. The multiple regression analysis result showed that all of the research hypotheses are accepted, which means that (WC/TA), (RE/TA), (EBIT/TA), (MVE/TL), and (S/TA), both partially and simultaneously had an impact towards company's financial condition. en_US
dc.language.iso en en_US
dc.publisher Global Science & Technology Forum en_US
dc.subject Altman's Z-score model, financial condition, mining companies en_US
dc.title Bankruptcy Prediction Analysis on Mining Sector Companies in Indonesia en_US
dc.type Article en_US


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