FINANCIAL DISTRESS PREDICTION AND SEEING THE INFLUENCE OF THE ALTMAN RATIO ON COMPANY FINANCIAL DISTRESS

Hadhi Dharmaputra Juliyan
Universitas Gunadarma
Indonesia
Bertilia Lina Kusrina
Universitas Gunadarma
Indonesia

Abstract

This research aims to determine the level of bankruptcy of the company and to see if the Altman ratio can predict the condition of corporate bankruptcy in mining companies on the Indonesia Stock Exchange, because mining companies have a large role in the Indonesian economy. This study uses the Altman Z-Score model analysis to see how much the company's bankruptcy prediction and uses logistic regression to see how much the influence of the Altman ratio in predicting corporate bankruptcy.

Keywords
financial distress; the altman z–score; bankruptcy prediction
References

Cahyono, Adi Wijaya (2010). “Prediksi Kebangkrutan Perusahaan Pertambangan Batubara yang Listing di Bursa Efek Indonesia Periode 2011 – 2012 dengan Menggunakan Analisis Model Z – Score Altman.”

Endri (2009). “Prediksi Kebangkrutan Bank Untuk Menghadapi dan Mengelola Perubahan Lingkungan Bisnis: Analisis Model Altman Z-Score.” Perbanas Quarterly Review, 2(1).

Ghozali, Imam (2006). Aplikasi Analisis Multivariate Dengan Program SPSS. Badan Penebit Universitas Diponegoro, Semarang.

Gujarati, D.N. (2003). Basic Econometrics. New York: Mc.Graw-Hill.

Irfan, Mochamad dan Tri Yunianti. (2014). “Analisis Financial Distress dengan Pendekatan Altman Z – Score untuk Memprediksi Kebangkrutan Perusahaan Telekomunikasi.” Jurnal dan Riset Manajemen, 3(1), Sekolah Tinggi Ilmu Ekonomi Indonesia. Surabaya

Pratama, Juyneo (2016). Prediksi Financial Distress pada Perusahaan Manufaktur di Bursa Efek Indonesia. Universitas Negeri Yogyakarta. Yogyakarta

Pratama, Muhammad Bani (2016). Memprediksi Kondisi Financial Distress dengan Menggunakan Metode Altman Z – Score pada Perusahaan Property Dan Real Estate Tahun 2011–2015. Universitas Islam Negeri Syarif Hidayatullah. Jakarta

Santoso, Singgih. 2004. Buku Latihan SPSS Statistik Parametrik. Jakarta: PT. Alex Media Komputindo

Accounting Department, Faculty of Economics

Information
PDF
1142 times PDF : 1009 times