Analisis Prediksi Kegagalan Keuangan Menggunakan Model Altman, Wang dan Campbell dan Springate pada Perusahaan yang Delisting dari Bursa Efek Indonesia Periode 2009-2012

The purpose of this research is to test whether prediction model analysis of Altman�s, Wang and Campbell�s, and Springate�s can be used to predict precisely which company is delisted from Indonesia Stock Exchange (IDX) due to financial distress. The sample of this research are every company th...

وصف كامل

محفوظ في:
التفاصيل البيبلوغرافية
المؤلفون الرئيسيون: , DANASTRI RARAS, , Wulan Wimbari, S.E., M. Bus.
التنسيق: Theses and Dissertations NonPeerReviewed
منشور في: [Yogyakarta] : Universitas Gadjah Mada 2014
الموضوعات:
ETD
الوصول للمادة أونلاين:https://repository.ugm.ac.id/131448/
http://etd.ugm.ac.id/index.php?mod=penelitian_detail&sub=PenelitianDetail&act=view&typ=html&buku_id=71943
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الوصف
الملخص:The purpose of this research is to test whether prediction model analysis of Altmanâ��s, Wang and Campbellâ��s, and Springateâ��s can be used to predict precisely which company is delisted from Indonesia Stock Exchange (IDX) due to financial distress. The sample of this research are every company that has been delisted forcefully due to financial distress. Those samples will be compared with ten other companies that are listed in the same industry and have the similar value of assets. Furthermore, those companies that have been delisted before will be compared with every company that are listed in the same industry. After being identified, every information about the companies that have been delisted forcefully from IDX will be calculated using Altmanâ��s, Wang and Campbellâ��s, and Springateâ��s formula to specify its cut off. The prediction results of those models will be compared with the actual condition using chi-square. Each of Altmanâ��s model, Wang and Campbellâ��s model, and also Springateâ��s model show significant results to predict the company that has been delisted due to financial distress. The result of this research can be a reference to enrich readerâ��s knowledge related to prediction of financial distress, also to give useful information that those prediction models can be used in Indonesia.