The Relationship between Financial Distress and Financial Health Prediction Model: A Study in Public Manufacturing Companies Listed on Indonesia Stock Exchange (IDX)




financial distress, financial health, profitabilitas, liabilities


Financial distress prediction models of Altman, Springate, Zmijewski, Grover, and Khaira have been widely applied to predict financial distress and financial health. This study aims to analyze score correlations within the prediction results of the mentioned models applied in manufacture companies listed in the Indonesian Stock Exchange. The sample includes 30 companies which faced financial distress during economic crisis in 1997–1998 and, as comparison, incorporates 28 financially healthy companies. Observations were made during one and two years before the financial distress occurred, i.e. between 1995 until 1999, as well as from 2015 until 2018 to measure the financial health level in the companies. In this study, we use the correlation analysis. The results showed that  models which have a strong and significant relationship at alpha 5% are models from Altman - Springate, Altman - Khaira, Springate - Khaira, and Zmijewski - Khaira. Grover model which does not have the predictor in the form of leverage, however has a weak correlation with other model as well as the actual condition

Author Biography

Khaira Amalia Fachrudin, Universitas Sumatera Utara

Departemen Manajemen, Fakultas Ekonomi dan Bisnis, Universitas Sumatera Utara


Ross, Stephen A, Westerfield, Randolh W., and Jaffe, Jeffrey. Corporate Finance, Tenth edition,McGraw Hill Irwin, 2013.

Halteh, Khaled., Kuldeep Kumar, and Adrian Gepp. (2018). Financial distress prediction of Islamic Banks using tree-based stochastic techniques. Managerial Finance, 44 (6), 759-773

Andrade G. & Kaplan S. (1998). How Costly is Financial (Not Economic) Distress? Evidence from Highly Leveraged Transactions that Became Distressed. The Journal of Finance, 53(5), 1443-1493

Fachrudin, Khaira Amalia. Analisis Kesulitan Keuangan Perusahaan – Studi pada Perusahaan Manufaktur yang Terdaftar di Bursa Efek Jakarta Tahun 1995 – 2005, Dissertation, Universitas Brawijaya, Malang, 2007.

Altman, Edward I, Robert G. Haldeman, and P. Narayanan. (1977). ZetaTM Analysis – A New Model to Identify Bankruptcy Risk Corporations. Journal of Banking and Finance, 1, 29 – 54.

Springate G L. (1978). Predicting the Possibility of Failure in a Canadian Firms, Research Project, January, Simon Fraser University, Canada, 1978.

Zmijewski, Mark Eugene., Essay on Corporate Bankruptcy, Dissertation, University of New York,1984.

Grover, Jeffrey S., Validation of Cash Flow Model : a New Bankruptcy Approach, Dissertation, Nova Southeastern University, 2001.

Norita. (2016). An Analysis of Telecommunication Vendor Company Bankruptcy Potency Based on the Problematic Financial Ratio with Altman, SpringateAnd Zmijewski Methods. The International Journal of Organizational Innovation, 8 (4), 234 – 250.

Adinata, Gavrila. (2019). CSR Expenditures, Financial Distress Prediction, and Reputation : A Pathway Analysis. Perspektif Akuntansi, 2 (1), 1-18.

Nketiah, Ebenezer Tuffour. Analyzing Investment Decisions Using Altman’s Model to Predict Organizational Financial Distress, Dissertation, Capella University, United Sttaes of Ammerica, 2017.

Shahwan, Tamer Mohamed. (2015). The Effects of Corporate Governance on Financial Performance and Financial Distress : Evidence from Egypt. Corporate Governance, 15 (5), 641 – 662.

Kasilingam, R and G. Ramasundaram. (2012). Predicting Solvency of Non-Banking Financial Institutions in India Using Fulmer and Springate Model. Journal of Services Research, 12 (1), 65 – 88.

Gusni, Wiludjeng, Sri SP; Silvana. (2019). Predicting Financial Distress : a Case Study of Indonesia Coal Firms. Global Business and Management Research, 11 (1), 186 – 194.

Grice, J.S and Ingram, RW. (2001). Test of the generalizability of Altman’s bankruptcy prediction model. Journal of Business Research, 54, 53-61.

Bal, Jay., Yen Cheung, and Hsu-Che Wu. (2013). Entropy for Business Failure Prediction : An Improved Prediction Model for the Construction Industry. Advances in Decision Sciences, 1-14.

Arasu, R, Balaji CD, Kumar SP, Thamizhselvi N. (2013). Applicability of Fulmer and Springate Models for Predicting Financial Distress of Firms in the Finance Sector – An Empirical Analysis. Journal of Finance and Risk Management, 4 (1), 1-9.

Sinarti and Sembiring, Tia Maria. (2015). Bankruptcy Prediction Analysis of Manufacturing Companies Listed in Indonesia Stock Exchange. International Journal of Economics and Financial Issues, 5, 354-359

Kumari, Nilanjana. (2013). Evaluation of Financial Health of MMTC of India : A Z Score Model. European Journal of Accounting and Finance Research, 1 (1), 36-43.

Parvin, Afroza, Benazir Rahman, dan Alrafa Akter Nitu. (2013). Prediction of Financial Health of Banking Industry in Bangladesh Using Altman’s Z Score : A Comparison Between State-Owned Commercial Banks and Private Commercial Banks. Proceeding of the International Conference for Bankers and Academics, 335 – 344.

Huo, Yang Hwae. (2006). Bankruptcy Sitiation Model in Small Business : the Case of Restaurant Firms. Hospitality Review, 2 (24), 49-58.

Ben, Ditiro Alam., AR, Moch. Dzulkirom, and Topowijono. (2015). Analisis Metode Springate (S-Score) sebagai Alat untuk Memprediksi Kebangkrutan Perusahaan (Studi pada Perusahaan Property dan Real estate yang Listing di Bursa Efek Indonesia pada Tahun 2011 – 2013). Jurnal Administrasi Bisnis, 21 (1), 1 – 9.

Lind, Douglas A, Mrchal, William G., and Wathen, Samuel A., Statistical Techniques in Business and Economics, 17th Edition, McGraw-Hill Irwin, 2019