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ArtikelPenggunaan Binary Logit Untuk Prediksi Financial Distress Perusahaan yang Tercatat di Bursa Efek Jakarta (Studi Kasus Emiten Industri Perdagangan)  
Oleh: Pasaribu, Rowland Bismark Fernando
Jenis: Article from Journal - ilmiah nasional - terakreditasi DIKTI
Dalam koleksi: Journal of Economics, Business, & Accountancy: ventura vol. 11 no. 2 (Aug. 2008), page 153-172.
Topik: Financial Distress; Financial Ratios; Binary Logit
Ketersediaan
  • Perpustakaan Pusat (Semanggi)
    • Nomor Panggil: VV5.6
    • Non-tandon: 1 (dapat dipinjam: 0)
    • Tandon: tidak ada
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Isi artikelThis research attempts to form prediction of financial distress at go public companies listed at the Jakarta Stock Exchange, specifically those which are involved in trade industries. The sample used includes the whole companies involved in trade industries in the period of 2002-2006. The research uses six early discriminators and 34 financial ratios as the operational variables. The analysis technich used on this research is binary logit. The result shows that 18 financial ratios are considered as significant predictors. This also shows that the companies which do not create economic value added, illiquid, low operational efficiency, and the low rate of financial leverage are supposed to have high difficulty probability. The degree of accuracy towards the model produced lies between 76.28% - 98.08%.
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