Home > Result and Research > Penggunaan Binary-Logit Untuk Prediksi Financial Distress Emiten di BEJ: Studi Kasus Emiten Industri Perdagangan.

Penggunaan Binary-Logit Untuk Prediksi Financial Distress Emiten di BEJ: Studi Kasus Emiten Industri Perdagangan.

(Jurnal Ekonomi, Bisnis dan Akuntansi VENTURA, August, 2008. Vol.11, No.2: 153-172).

Abstract

This 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 technical 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.

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