PROYEKSI KEBANGKRUTAN PADA PERUSAHAAN INDEKS LQ45 DI BURSA EFEK INDONESIA
DOI:
https://doi.org/10.29303/jmm.v11i2.712Abstract
This study aims to determine financial distress with the Altman Z-score, Zmijewski, and Grover models to predict bankruptcy in LQ45 Index Companies on the Indonesia Stock Exchange. The population of this research is all issuers or publicly listed companies whose shares are consistently included in the LQ45 Index on the Indonesia Stock Exchange for the 2017-2020 period. Sampling using the purposive sampling method. Data collection is done by using documentation techniques. The results of calculations based on the Altman Z-Score model on LQ45 Index companies during the 2017-2021 period obtained eight companies in the gray area and two companies in the distress area, namely PT. XL Axiata Tbk and PT. Jasa Marga (Persero). Meanwhile, using the Zmijewski model, four companies were categorized as experiencing financial distress during the 2017-2020 period, namely PT. Bank Central Asia Tbk, PT. Bank Negara Indonesia (Persero) Tbk, PT. State Savings Bank (Persero) Tbk, PT. Bank Mandiri (Persero) Tbk. Based on the results of the calculation of financial distress with the Grover model, two companies are categorized as experiencing financial distress, namely PT. XL Axiata Tbk and PT. Jasa Marga (Persero).References
Altman, E. (1968). Financial Ratio, Discriminant Analysis and the Prediction of Corporate Bankruptcy. The Journal of Finance, Vol.23, No 4, 589-609.
Fauzan, H., & Sutiono, F. (2017). Perbandingan Model Altman Z-Score, Zmijewski, Springate,dan Grover Dalam Memprediksi Kebangkrutan Perusahaan Perbankan(Studi Kasus Pada BEI Tahun 2011 – 2015). Jurnal Online Insan Akuntan. Vol. 2. No.1., 49-60.
Grover, J., & Lavin, A. (2001). Financial Ratios, Discriminant Analysis and The Prediction of Corporate Bankruptcy: a Service Industry Extension of Altman’s Z-Score Model of Bankruptcy Prediction. Working Paper. Southern Finance Assosiation Annual Meeting.
Ohlson, J. A. (1980). Financial Ratios and Probabilistic Prediction of Bankruptcy. Journal of Accounting Research.
Parquinda, L., & Azizah, D. F. (2019). Analisis Penggunaan Model Grover (G-Score), Fulmer (H-Score), Springate (S-Score), Zmijewski (X-Score), Dan Altman (Z-Score) Sebagai Prediktor Kebangkrutan . Jurnal Administrasi Bisnis (JAB)|Vol. 72 No. 1, 110-118.
Prasandri, E. F. (2018). Analisis Financial Distress Dengan Menggunakan Metode Z-Score (Altman), Springate, Dan Zmijewski Untuk Memprediksi Kebangkrutan Perusahaan Rokok Yang Terdaftar Di BEI Pada Tahun 2013-2016. E_Jurnal Fakultas Ekonomi Universitas Islam Lamongan , Volume III No.2.
Rachaprima, M. R. (2015). Analisis Komparatif Prediksi Kebangkrutan Dengan Model Ohlson, Springate, Zmijewski Dan Grover Pada Perusahaan Konstruksi Dan Bangunan Yang Terdaftar Di Bursa Efek Indonesia . Jom FEKON Vol.2 No.2.
Springate, G. L. (1978). Predicting the Possibility of Failure in a Canadian Firm. M.B.A Research Project, Simon Fraser University .
Zmijewski, M. (1984). Methodological Issues Related to The Estimation of Financial Distress Model. Journal of Accounting Research, 59-82.
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Copyright (c) 2022 Anwar Anwar, Nurman, Zainal Ruma, Sitti Hasbiah

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