Potensi Kebangkrutan Perusahaan dengan Notasi Khusus menggunakan Zmijewksi X Score Model dan Ohlson O Score Model

  • Robith Hudaya Universitas Mataram
  • Nungki Kartikasari Universitas Mataram
  • Adhitya Bayu Suryantara Universitas Mataram
  • Paradisa Sukma Universitas Mataram
Keywords: bankruptcy, financial distress, Ohlson O Score Model, special notation, Zmijewksi X Score Mode

Abstract

The Indonesian Stock Exchange (BEI) regulations in the form of Circular Letter Number: SE-00001/BEI/12-2018 require that companies be broken down into various letter notations so that their condition can be mapped. This particular notation is a warning given by the IDX to investors to protect themselves from problematic issuers and to each issuer to comply with the rules to avoid embedding more special notations. This research was conducted to map the company's potential for bankruptcy, as seen from whetherthere were financial difficulties in the year before the special notation was given. This depiction will provide initial detection for Indonesian capital market investors in investing their capital. It can serve as empirical evidence as to whether all companies previously given special notations experienced potential bankruptcy. Two financial difficulty analysis tools are used, namely the Zmijewksi X Score Model, which is based on Multiple Discriminant Analysis (MDA), and the Ohlson O Score Model, which isbased on Logistic Regression. The research results found that calculating financial distress using the X-Score model in 154 companies that received special notation found that 60 companies had the potential to experience bankruptcy. For 94 companies, there is no potential for bankruptcy in 2021. Calculation of financial distress using the O-Score model for 154 companies that received special notation found that 34 companies had the potential to experience bankruptcy. For 120 companies, there is no potential for bankruptcy in 2021. Companies with the notations E, B, Y, D and S have an enormous potential for bankruptcy. Based on these findings, investors are asked to avoid shares with this notation so as not to experience losses in investing.

References

Aprilia. (2018). Analisis Perbandingan Metode Altman Z-Score, Zmijewski, Dan Springate Dalam Memprediksi Kebangkrutan Pada Perusahaan Food And Beverage Yang Terdaftar Di BEI Periode 2015-2018.
Brenes, R. F., Johannssen, A., & Chukhrova, N. (2022). An Intelligent Bankruptcy Prediction Model Using A Multilayer Perceptron. Intelligent Systems With Applications, 16. Https://Doi.Org/10.1016/J.Iswa.2022.200136
Bukhori, I., Kusumawati, R., & Meilani, M. (2022). Prediction Of Financial Distress In Manufacturing Companies: Evidence From Indonesia. Journal Of Accounting And Investment, 23(3), 588–605. Https://Doi.Org/10.18196/Jai.V23i3.15217
Fahma, Y. T., & Setyaningsih, N. D. (2019). Analisis Financial Distressdengan Metode Altman, Zmijewski, Grover, Springate, Ohlson Dan Zavgren Untuk Memprediksi Kebangkrutan Perusahaan Ritel. Jurnal Ilmiah Bisnis Dan Ekonomi Asia, 15(2), 200–216.
Galuh Tri Pambekti. (2014). Analisis Ketepatan Model Altman, Springate, Zmijewski, Dan Grover Untuk Memprediksi Financial Distress Pada Perusahaan Yang Masuk Dalam Daftar Efek Syariah Periode 2009-2012.
Hayes, A. (2020). Financial Distress. Investorpedia. Https://Doi.Org/10.1002/9781118785317.Weom040039
Hutauruk, M. R., Mansyur, M., Rinaldi, M., & Situru, Y. R. (2021). Financial Distress Pada Perusahaan Yang Terdaftar Di Bursa Efek Indonesia. JPS (Jurnal Perbankan Syariah), 2(2), 237–246. Https://Doi.Org/10.46367/Jps.V2i2.381
Kyriazopoulos, G. (2017). Corporate Governance And Capital Structure In The Periods Of Financial Distress. Evidence From Greece. In Investment Management And Financial Innovations (Vol. 14, Issue 1, Pp. 254–262). LLC CPC Business Perspectives. Https://Doi.Org/10.21511/Imfi.14(1-1).2017.12
Li, D., Xu, K., Li, Y., Jiang, Y., Tang, M., Lu, Y., Cheng, C., Wang, C., & Mo, G. (2022). Financial Distress Prediction For Digital Economy Firms: Based On PCA-Logistic. Journal Of Risk Analysis And Crisis Response, 12(1). Https://Doi.Org/10.54560/Jracr.V12i1.319
Manalu, S., Octavianus, R. J. N., & Kalmadara, G. S. S. (2017a). Financial Distress Analysis With Altman Z-Score Approach And Zmijewski X-Score On Shipping Service Company. Jurnal Aplikasi Manajemen, 15(4), 677–682. Https://Doi.Org/10.21776/Ub.Jam.2017.015.04.15
Mohd Nasir, N., & Mohd Ali, M. (2018). Corporate Governance And Financial Distress: Malaysian Perspective. Asian Journal Of Accounting Perspectives, 11(1), 108–128.
Ohlson, J. A. (1980). Financial Ratios And The Probabilistic Prediction Of Bankruptcy. In Source: Journal Of Accounting Research (Vol. 18, Issue 1).
Pratama, H., & Mulyana, B. (2020). Prediction Of Financial Distress In The Automotive Component Industry:An Application Of Altman, Springate, Ohlson, And Zmijewski Models. Dinasti International Journal Of Economic, Finance & Accounting, 1(4). Https://Doi.Org/10.38035/DIJEFA
Priambodo, D. (2017). Analisis Perbandingan Model Altman, Springate, Grover, Dan Zmijewski Dalam Memprediksi Financial Distress (Studi Empiris Pada Perusahaan Sektor Pertambangan Yang Terdaftar Di Bursa Efek Indonesia Periode 2012- 2015).
Rahayu, F., Suwendra, I. W., & Yulianthini, N. N. (2016a). Analisis Financial Distress Dengan Menggunakan Metode Altman Z-Score, Springate, Dan Zmijewski Pada Perusahaan Telekomunikasi. Jurnal Manajemen Indonesia, 4(1), 13.
Ruxanda, G., Zamfir, C., & Muraru, A. (2018). Predicting Financial Distress For Romanian Companies. Technological And Economic Development Of Economy, 24(6), 2318–2337. Https://Doi.Org/10.3846/Tede.2018.6736
Sablik, M. J., Rios, S., Landgraf, F. J. G., Yonamine, T., De Campos, M. F., Kim, J. H., Semiatin, S. L., Lee, C. S., Babu, J., Dutta, A., ABNT, Asm, A. N., Publication, I., Huang, J. C., Barnes, J. E., Williams, J., Blue, C. A., Peter, B., Asaadi, E., … Foram, Q. (2012). Perbandingan Analisis Prediksi Kebangkrutan Menggunakan Model Altman Dengan Ukuran Perusahaan Sebagai Variabel Penjelas Pada Perusahaan Industri Keuangan Bank Yang Terdaftar Di Bursa Efek Indonesia Periode 2010-2012. Acta Materialia, 33(10), 348–352.
Sari, E. R., & Yulianto, M. R. (2018). Akurasi Pengukuran Financial Distress Menggunakan Metode Springate Dan Zmijewski Pada Perusahaan Property Dan Real Estate Di Bursa Efek Indonesia Periode 2013-2015. Jurnal Manajemen Dan Bisnis Indonesia, 5(2), 276–285. Https://Doi.Org/10.31843/Jmbi.V5i2.167
Sudjiman, L. S., & Sudjiman, P. E. (2019). The Accuracy Of The Springate And Zmijewski In Predicting Financial Distress In Cosmetic And Household Subsector Companies. Abstract Proceedings International Scholars Conference, 7(1), 1343–1358. Https://Doi.Org/10.35974/Isc.V7i1.2067
Viciwati. (2020). Bankruptcy Prediction Analysis Using The Zmijewski Model (X-Score) And The Altman Model (Z-Score). Dinasti International Journal Of Economic, Finance & Accounting, 1(5), 794–806. Https://Doi.Org/10.38035/DIJEFA
Wang, L. (2019). Financial Distress Prediction For Listed Enterprises Using Fuzzy C-Means. In Littera Scripta (Vol. 12, Issue 1).
Widayanti, N. C., & Damayanti, T. W. (2022). Pertumbuhan Penjualan, Financial Distress, Preferensi Resiko: Apakah Masa Pandemi Covid-19 Berperan? Jurnal Akuntansi Kontemporer, 14(3), 127–150. Https://Doi.Org/10.33508/Jako.V14i3.3646
Yasser, Q. R., & Al Mamun, A. (2015). Corporate Failure Prediction Of Public Listed Companies In Malaysia. European Researcher, 91(91), 114–126. Https://Doi.Org/10.13187/Er.2015.91.114
Yendrawati, R., & Adiwafi, N. (2020). Comparative Analysis Of Z-Score, Springate, And Zmijewski Models In Predicting Financial Distress Conditions. Journal Of Contemporary Accounting, 2(2), 72–80. Https://Doi.Org/10.20885/Jca.Vol2.Iss2.Art2
Zavgren, C. V, Friedman, G. E., Zavgren, C. V, & Friedman, G. E. (1988). Are Bankruptcy Prediction Models Worthwhile? An Application In Securities Analysis. In Source: Management International Review (Vol. 28, Issue 1).
Zmijewski, M. E. (1984). Methodological Issues Related To The Estimation Of Financial Distress Prediction Models. Journal Of Accounting Research, 22, 59–82. Https://Doi.Org/10.2307/2490860
Published
2024-04-01