Comparative Analysis of Bankruption Prediction Models in Property and Real Estate Sector Companies Listed on the IDX 2017-2019
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Submitted Feb 3, 2021
Published Feb 19, 2021
Published Feb 19, 2021
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This study takes the topic of comparative analysis of bankruptcy prediction models in the Property and Real Estate Sector companies listed on the IDX in 2017-2019. In this case, the test was conducted to compare the accuracy between the Altman Z-Score, Springate S-Score and Zmijewski X-Score models in predicting the bankruptcy of property and real estate companies. The sample consisted of 20 companies after the sample selection was carried out using purposive sampling technique. To obtain the right level of accuracy, a comparison of the distress or non-distress score categories of each bankruptcy model with the earnings per share (EPS) value of each company was carried out through a dummy variable. Through this test, it is known that the Zmijewski X-Score model is the most accurate model in predicting bankruptcy in the property and real estate sectors listed on the Indonesia Stock Exchange (IDX) by 90%.
Keywords: Bankruptcy Prediction, Altman Z-Score, Springate S-Score, Zmijewski X-Score, Earnings Per Share
References
Piliang, Endri. 2009. Prediksi Kebangkrutan Bank Untuk Menghadapi Dan Mengelola Perubahan Lingkungan Bisnis: Analisis Model Altman’s Z-Score. Perbanas Quarterly Review, 2(1).
Rafles, dkk. 2015. Analisis Prediksi Kebangkrutan Perusahaan Dengan Menggunakan Metode Altman (Z-Score) (Studi pada Subsektor Rokok yang Listing dan Perusahaan Delisting di Bursa Efek Indonesia Tahun 2009 - 2013). Jurnal Administrasi Bisnis (JAB), 2(1).
Supriati, Diana, Icuk R. Bawono, dan Kusriyadi C. Anam. 2019. Analisis Perbandingan Model Springate, Zmijewski, dan Altman dalam Memprediksi Financial Distress Pada Perusahaan Manufaktur yang Terdaftar di Bursa Efek Indonesia. Journal of Business Administration, 3(2), 258-270.
Priambodo, Dimas, dan Adeng Pustikaningsih. 2018. 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). Jurnal Pendidikan Akuntansi, 6(4).
Sihombing, Pardomuan. 2018. Corporate Financial Management. Cetakan 1. Bogor: Penerbit IPB Press.
Toto, Prihadi. 2011. Analisis Laporan Keuangan Teori dan Aplikasi. Jakarta: PPM.
Yami, Nafir Rizky Herlambang, dan Ririh Dian Pratiwi. 2017. Prediksi Kebangkrutan Dengan Menggunakan Metode Altman Z-Score, Springate Dan Zmijewski Pada Perusahaan Property Dan Real Estate Yang Terdaftar Di BEI Tahun 2011-2013. Jurnal Akuntansi Universitas Dian Nuswantoro, 2(4).
Munawarah, Anton Wijaya, Cindy Fransisca, Felicia, dan Kavita. 2019. Ketepatan Altman, Zmijewski, Grover, dan Fulmer menentukan Financial Distress pada Perusahaan Trade and Service. Riset & Jurnal Akuntansi, 3(2).
Edi, dan May Tania. 2018. Ketepatan Model Altman, Springate, Zmijewski, dan Grover dalam Memprediksi Financial Distress. Jurnal Reviu Akuntansi dan Keuangan, 8(1), 79-92.
Altman, E. I. 1968. Financial Ratios, Discriminant Analysis and The Prediction of Corporate Bankruptcy. The Journal of Finance, 23(4).
Springate, G.L.V. 1978. Predicting the Possibility of Failure in a Canadian Firm. Tesis. Tidak Diterbitkan. Simon Fraser University: Canada.
Zmijewski, M.E. 1984. Methodological Issues Relate to the Estimation of Financial Distress Prediction Models. Journal of Accounting Research, 22, 59-82.
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How to Cite
Andriani, F., & Sihombing, P. (2021). Comparative Analysis of Bankruption Prediction Models in Property and Real Estate Sector Companies Listed on the IDX 2017-2019. European Journal of Business and Management Research, 6(1), 170-173. https://doi.org/10.24018/ejbmr.2021.6.1.730
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