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Penggunaan Binary Logit untuk Prediksi Financial Distress Perusahaan Yang Tercatat Di Bursa Efek Jakarta

Pasaribu, Rowland Bismark Fernando (2008): Penggunaan Binary Logit untuk Prediksi Financial Distress Perusahaan Yang Tercatat Di Bursa Efek Jakarta. Published in: Jurnal Ekonomi, Bisnis, dan Akuntansi VENTURA , Vol. 11, No. 2 (August 2008): pp. 153-172.

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Abstract

This study aimed to establish the financial distress prediction in a public company listed on the Jakarta Stock Exchange specifically incorporated in the trading industry. The samples used in research are all public companies incorporated in the trading industry 2002-2006 period. This study used six initial discriminator and 34 financial ratios as an operational variable. The analysis technique used is a binary logit regression. Empirical result shows that companies that do not create economic value-added, illiquid, low operational efficiency and high levels of financial leverage have a large probability of financial distress.

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