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Image of MEMBANDINGKAN PERBEDAAN HASIL PREDIKSI FINANCIAL DISTRESS PADA PERUSAHAAN TEKSTIL DAN GARMEN YANG TERDAFTAR DI BEI MENGGUNAKAN MODEL ALTMAN Z- SCORE DAN ZMIJEWSKI

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MEMBANDINGKAN PERBEDAAN HASIL PREDIKSI FINANCIAL DISTRESS PADA PERUSAHAAN TEKSTIL DAN GARMEN YANG TERDAFTAR DI BEI MENGGUNAKAN MODEL ALTMAN Z- SCORE DAN ZMIJEWSKI



Textile and Garment industries in Indonesian have experienced a decline in sales due to the global crisis of 2008 until now. In addition, high level in competition with foreign with product such as products from China, Korea, and Thailand further suppressed the existence of domestic textile and garment industries. This research aimed to predict the potential for financial distress in the textile and garment industries by using the Altman Z-Scores Model and Zmijewski Model. Besides that, this research had purpose to find any difference in potential for financial distress prediction calculation between the two models.
The population in this research was 18 textile and garment companies listed in Indonesia Stock Exchange. The samples choosen were 8 textile and garment companies. The result of this research would be in quantitative description and empirical from prediction calculation for financial distress using Altman Z-Score and Zmijewski Models.
The method used to find any diference of prediction between these two models was k-independent samples tests (kruskall-wallis) with a 0,05 significance level. The result showed that the significance level was 0,113 that means there’s no difference in prediction for financial distress between these two models.

Keywords: Financial Distress, Comparation, Altman Z-Score, Zmijewski



Availability

005864S 121537 REZ mPerpustakaan IBS (Rak Skripsi)Available but not for loan - Reference

Detail Information

Series Title
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Call Number
S 121537 REZ m
Publisher STIE Indonesia Banking School : Jakarta.,
Collation
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Language
Indonesia
ISBN/ISSN
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Classification
657.07
Content Type
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Media Type
-
Carrier Type
-
Edition
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Specific Detail Info
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    Indonesia Banking School
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