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.

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.

• Item Type: MPRA Paper
• English Title: Financial Distress Prediction In Indonesian Stock Exchange
• Language: Indonesian
• Keywords: EVA, financial distress, financial ratios, binary logit
• Subjects: A - General Economics and Teaching > A1 - General Economics > A13 - Relation of Economics to Social Values; O - Economic Development, Innovation, Technological Change, and Growth > O1 - Economic Development > O16 - Financial Markets ; Saving and Capital Investment ; Corporate Finance and Governance; G - Financial Economics > G3 - Corporate Finance and Governance; G - Financial Economics > G3 - Corporate Finance and Governance > G32 - Financing Policy ; Financial Risk and Risk Management ; Capital and Ownership Structure ; Value of Firms ; Goodwill

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