The Accuracy of the Altman, Ohlson, Springate and Zmejewski Models in Bankruptcy Predicting Trade Sector Companies in Indonesia

Sri Elviani, Ramadona Simbolon, Zenni Riana, Farida Khairani, Sri Puspa Dewi, Fauzi Fauzi

Abstract


Bankruptcy prediction models continue to develop both in terms of forms, models, formulas, and analysis systems. Various bankruptcy prediction studies currently conducted aim to find the most appropriate and accurate bankruptcy prediction model to be used in predicting bankruptcy. This study aims to determine the most appropriate and accurate model in predicting the bankruptcy of 53 trade sector companies in Indonesia. The analysis technique used in this study is binary logistic regression. The results of this study prove that the most appropriate and accurate model in predicting bankruptcy of trade sector companies in Indonesia is the Springate model and the Altman model

Keywords


Bankruptcy prediction models continue to develop both in terms of forms, models, formulas, and analysis systems. Various bankruptcy prediction studies currently conducted aim to find the most appropriate and accurate bankruptcy prediction model to be used

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References


Altman, E. I. (1968) ‘Financial Ratios, Discriminant Analysis and The Prediction of Corporate Bankruptcy’, The Journal of Finance, XXIII(4), pp. 589–609.

Altman, E. I. (1984) ‘A Further Empirical Investigation of the Bankruptcy Cost Question’, The Journal of Finance, XXXIX(4), pp. 1067–1089.

Aminian, A., Mosazade, H. and Khoshkho, O. I. (2016) ‘Investigate the Ability of Bankruptcy Prediction Models of Altman and Springate and Zmijewski and Grover in Tehran Stock Exchange’, Mediterranean Journal of Social Sciences, 7(4), pp. 208–214. doi: 10.5901/mjss.2016.v7n4s1p208.

Ashraf, S., Elisabete, G. S. F. and Serrasqueiro, Z. (2019) ‘Do Traditional Financial Distress Prediction Models Predict the Early Warning Signs of Financial Distress ?’, Journal of Risk and Financial Management, 12(55), pp. 1–17. doi: 10.3390/jrfm12020055.

Beaver, W. H. (1966) ‘Financial Ratios as Predictors of Failure’, Journal of Accounting Research, 4, pp. 71–111.

Ghozali, I. (2006) Aplikasi Analisis Multivariate dengan Program SPSS. Semarang, Indonesia: Badan Penerbit Universitas Diponegoro.

Marcinkevicius, R. and Kanapickiene, R. (2014) ‘Bankruptcy Prediction in The Sector of Construction in Lithuania’, in 19th International Scientific Conference; Economics and Management 2014, pp. 553–557. doi: 10.1016/j.sbspro.2014.11.239.

Nurcahyanti, W. (2015) STUDI KOMPARATIF MODEL Z-SCORE ALTMAN, SPRINGATE DAN ZMIJEWSKI DALAM MENGINDIKASIKAN KEBANGKRUTAN PERUSAHAAN YANG

TERDAFTAR DI BEI. (tidak dipublikasi) Program Studi Akuntansi, Fakultas Ekonomi. Universitas Negeri Padang.

Ohlson, J. A. (1980) ‘Financial Ratios and The Probabilistic Prediction of Bankruptcy’, Journal of Accounting Research, 18(1), pp. 109–131.

Pongsatat, S., Ramage, J. and Lawrence, H. (2004) ‘Bankruptcy Prediction for Large and Small Firms in Asia : A Comparison of Ohlson and Altman’, Journal of Accounting and Croporate

Governance, 1(2), pp. 1–13.

Springate, G. L. (1978) Predicting the Possibility of Failure in a Canadian firm. (Unpublished Thesis). Britisch Columbia, Canada: Simon Fraser University.

Syamni, G., Majid, M. S. A. and Siregar, W. V. (2018) ‘Bankruptcy Prediction Models and Stock Prices of the Coal Mining Industry in Indonesia’, Etikonomi, 17(1), pp. 57–68.

Timmermans, M. and Finance, M. (2014) U . S . CORPORATE BANKRUPTCY PREDICTING

MODELS. Tilburg University.

Wu, Y., Gaunt, C. and Gray, S. (2010) ‘Journal of Contemporary Accounting & Economics A comparison of alternative bankruptcy prediction models’, Journal of Contemporary Accounting & Economics. Elsevier Ltd, 6(1), pp. 34–45. doi: 10.1016/j.jcae.2010.04.002.

Xu, M. and Zhang, Æ. C. (2009) ‘Bankruptcy prediction : the case of Japanese listed companies’,

Springer Science + Business Media, 14, pp. 534–558. doi: 10.1007/s11142-008-9080-5.

Zmijewski, M. E. (1984) ‘Methodological Issues Related to the Estimation of Financial Distress Prediction Models’, Journal of Accounting Research, 22, pp. 59–82.




DOI: https://doi.org/10.33258/birci.v3i1.777

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This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.