Analysis of Method Used to Predict Financial Distress Potential in Pulp and Paper Companies of Indonesia

  • Fadrul Fadrul School of Business Pelita Indonesia
  • Ridawati Ridawati School of Business Pelita Indonesia
Keywords: Financial Distress, Altman Z-Score, Springate, Zmijewski

Abstract

This study aims to predict financial distress in pulp and paper companies in Indonesia. The data used are the financial statements of each pul and paper company listed on the Indonesia Stock Exchange in 2012-2017.

Data analysis techniques used descriptive analysis with three methods of financial distress prediction, namely the Altman Z-Score, Springate, and Zmijewski methods. The results showed that the Zmijewski method is a prediction method with the highest accuracy rate of 100%, with an error type of 0%. The Altman Z-Score method has an accuracy rate of 28.6%, with an error type of 71.4%.

While the Springate method has an accuracy rate of 14.3%, with an error type of 85.7%. Therefore an accurate prediction method to predict the potential for financial distress is the Zmijewski method.

References

Agarwal, Vineet, and Richard Taffler. (2008). Comparing the performance of market-based and accounting-based bankruptcy prediction models. Journal of Banking & Finance 32: 1541–51.

Altman. E.I. (1968). Financial Ratio Discriminant Analisis and The Prediction of Corporate Bankruptcy. Journal of Finance. Vol. XXIII, No.4 Page 589-609.

Aziz, Adnan A., and Humayon A. Dar. (2006). Predicting corporate bankruptcy: where we stand? Corporate Governance 6: 18–33.

Burhanuddin & A. Rizky. (2015). Analisis Penggunaan Metode Altman Z-Scoredan Metode Springate untuk mengetahui Potensi Terjadinya Financial Distress pada Perusahaan Manufaktur Sektor Industri Dasar Dan Kimia Sub Sektor Semen Periode 2009-2013.

Bauer, Julian, and Vineet Agarwal. (2014). Are hazard models superior to traditional bankruptcy prediction approaches? A comprehensive test. Journal of Banking & Finance 40: 432–42.

Beaver. W. (1966). Financial Ratio As Predictors Of Failur. Journal Of Accounting Research. Page 71-105.

Chancharat, N. (2008). An empirical analysis of financially distressed Australian companies: the application of survival analysis.

Christianti, A. (2013). Akurasi Prediksi Financial Distress: Perbandingan Model Altman Z-Score dan Ohlson. Jurnal Ekonomi & Bisnis Vol 7, No. 2, Juli 2013 Hal. 77-89.

Das, Sanjiv R., Paul Hanouna, and Atulya Sarin. (2009). Accounting−Based versus Market−Based cross-sectional models for CDS spreads. Journal of Banking & Finance 33: 719–30.

Fitriani, W. (2011). Penggunaan Metode Altman Z-Score Dalam Memprediksi Kebangkrutan Perusahaan. Fakultas Ekonomi, Universitas Parahyangan.

Firdausia, Y.K. (2017). Analisis Z-Score untuk memprediksi Financial Distress pada Perusahaan Tekstil dan Garment. Dalam media riset ekonomi. Vol 22 No. 1 Juli. Hal 19-22.

Horvathova, Jarmila & M. Mokrisova. (2018). Risk of Bankruptcy, Its Determinants and Models. Risks 2018, 6, 117.

Idris, N. F. (2008). Financial ratios as the predictor of corporate distress in Malaysia. University of Malaya.

Khunthong, J. (1997). Red flags on financial failure: the case of Thai corporations.

Liloshna, L., Sharmila, L., Felix, G., Nair, M., Nair, B., & Tushaline, S. (2017). A Study on the Predictions of Financial Distress in Malaysia. UTAR.

Munawir. (2010). Analisis Laporan Keuangan. Edisi Ketiga Belas. Yogyakarta. Libery.

Nur Hafizah, R. (2015). Determinants of financial distress among manufacturing companies in Malaysia. Universiti Utara Malaysia.

Ohlson, J.A. (1980). Financial Ratios and the Probabilistic Prediction of Bankruptcy. Journal of Accounting Research, 18(No.1).

Onakoya, A.B & A. E. Olotu. (2017). Bankruptcy and Insolvency: An Exploration of Relevant Theories. International Journal of Economics and Financial Issues, 2017, 7(3): 706-712.

Peter & Yosep. (2011). Analisis Kebangkrutan dengan metode Altman Z-Score, Springate dan Zmijewski pada PT. Indofood Sukses Makmur Tbk Periode 2005-2009. Akurat Jurnal Ilmiah Akuntansi Nomor 04 Tahun ke-2.

Prihadi, T. (2010). Deteksi Cepat Kondisi Keuangan, Analisis Rasio Keuangan. Jakarta: Ppm Manajemen.

Setiadi, A. (2011). Analisis Financial Distress Terhadap Prediksi Kebangkrutan Dengan Menggunakan Altman’s Z-Score Studi Kasus pada PT. Bakrie & Brothers Tbk. Fakultas Ekonomi, Universitas Komputer Indonesia.

Sofiana. (2015). Perbandingan Potensi Kebangkrutan Pada Perusahaan Sub Sektor Pertambangan Batu Bara, Logam dan Mineral yang terdaftar di Bursa Efek Indonesia (BEI) sebelum dan setelah penerapan Minerba No.4 Tahun 2009 ditahun 2014 (Altman Z-Score), Skripsi S1 Program Studi Akuntansi Sekolah Tinggi Pelita Indonesia Pekanbaru.

Springate, Gordon L.V. (1978). Predicting The Possibility of Failure in a Canadian Firm. Unpublised Masters Thesis. Simon Fraser Univrsity. January 1978.

Sari, E.W. (2014). Penggunaan Model Zmijeski, Springate, Altman Z-Score, dan Grover dalam Memprediksi Kepailitan pada Perusahaan Transportasi yang Terdaftar di Bursa Efek Indonesia. Universitas Dian Nuswantoro.

Sari, E.A.R. (2014). Pengaruh Partisipasi Masyarakat dan Transparasi Kebijakan Publik serta Pengetahuan Dewan terhadap Anggaran dalam Penyusunan APBD. Program Studi Akuntansi Fakultas Ekonomi dan Bisnis. Universitas Muhammadiyah Surakarta.

Venkataramana, N., Md. Azash, and K. Ramakrishnaiah. (2012). Financial Performance and Predicting the Risk of Bankruptcy: A Case of Selected Cement Companies in India. International Journal of Public Administration and Management Research 1: 40–56.

Zmijewski, M.E. (1983). Methodological Issue Related to The Estimation of Financial Distress Prediction Models. Journal of Accounting Research 22, 59-82.

Published
2020-01-02
How to Cite
Fadrul, F., & Ridawati, R. (2020). Analysis of Method Used to Predict Financial Distress Potential in Pulp and Paper Companies of Indonesia. International Journal of Economics Development Research (IJEDR), 1(1), 57 - 69. https://doi.org/10.37385/ijedr.v1i1.29