The model predict bankruptcy of bank in Indonesia: macro and micro indicators

Main Article Content

Novi Primita Sari
M. Faisyal Abdullah
Agung Prasetyo N.W

Abstract

This study aims to find the best model with a combination of macroeconomic variables and micro or internal variables of the bank itself to predict bankruptcy in Indonesian banks, especially state-owned banks represented by BRI Bank as the object of research. This research is a quantitative study using time series data using a regression analysis method where the selected macro and micro variables will be formed as models and tested for later analysis. There are two models used in this study, namely the Grover model and the Zmijewski model. The result of this research is to find an appropriate model to predict bankruptcy using macro and micro variables, and the best after the flow test is Grover's model. The groover model can produce a combination of macro and micro variables in accordance to investigate bankruptcy by proving that the macro variable that affects is the exchange rate, while from the micro side built by LDR, ROA, and company size.

Downloads

Download data is not yet available.

Article Details

How to Cite
Sari, N. P., Abdullah, M. F., & Prasetyo N.W, A. (2020). The model predict bankruptcy of bank in Indonesia: macro and micro indicators. Jurnal Ekonomi Modernisasi, 16(3), 154–164. https://doi.org/10.21067/jem.v16i3.5038
Section
Articles

References

Afiqoh, L., & Laila, N. (2018). Pengaruh Kinerja Keuangan Terhadap Risiko Kebangkrutan Bank Umum Syariah Di Indonesia (Metode Altman Z-Score Modifikasi Periode 2011-2017). Jurnal Ekonomi Dan Bisnis Islam (Journal of Islamic Economics and Business), 4(2), 166. https://doi.org/10.20473/jebis.v4i2.10757

Back, P. (2001). Testing liquidity measures as bankruptcy prediction variables. The Finnish Journal of Business Economics, 3, 309–327.

Bank Indonesia. (2013). Stabilitas Sistem Keuangan - Bank Sentral Republik Indonesia.

Hastuti, R. T. (2015). Analisis Komparasi Model Prediksi Financial Distress Altman, Springate, Grover Dan Ohlson Pada Perusahaan Manufaktur Yang Terdaftar Di Bursa Efek Indonesia Periode 2011-2013. Jurnal Ekonomi, 20(3), 446. https://doi.org/10.24912/je.v20i3.405

Husein, M. F., & Pambekti, G. T. (2015). Precision of the models of Altman, Springate, Zmijewski, and Grover for predicting the financial distress. Journal of Economics, Business & Accountancy Ventura, 17(3), 405. https://doi.org/10.14414/jebav.v17i3.362

Ihsan, D. N., & Kartika, S. P. (2015). Potensi kebangkrutan pada sektor perbankan syariah untuk menghadapi perubahan lingkungan bisnis. Jurnal Etikonomi, 14(2).

Kartika, D. N. I. S. P. (2015). Potensi Kebankrutan Pada Sektor Perbankan Syariah Untuk Menghadapi Perubahan Lingkungan Bisnis. 14(April), 113–146.

Lukman, M., Ahmar, N., Stie, ), & Surabaya, P. (2015). Model Prediksi Kebangkrutan Fullmer H-Score Dan Springate: Mana Yang Lebih Kuat? Seminar Nasional Cendekiawan, 1991, 12–29.

Nirmalasari, S. A. (2020). Financial Distress Pada Bank Syariah Dan Bank Konvensional Dengan Metode Altman Z- Score Modifikasi Periode 2016-2019 Skripsi.

Nugroho, V. (2012). Pengaruh Camel Dalam Memprediksi Kebangkrutan Bank. Jurnal Akuntansi, XVI(01), 145–161.

Qurrayani, T. N. (2013). Analisis Rasio Keuangan Dan Market Effect.

Qurriyani, T. N. (2012). Deteksi Dini Potensi Kebangkrutan Bank Melalui Analisis Rasio Keuangan dan Market Effect Model Regresi Logistik Multinomial. Prosiding SNA-Simposium Nasional Akuntansi, 15.

Safitri, A., & Hartono, U. (2014). Uji penerapan model prediksi financial distress altman, springate, ohlson dan zmijewski pada perusahaan sektor keuangan di Bursa Efek Indonesia. Jurnal Ilmu Manajemen (JIM), 2(2), 328–337.

Suci, Y. R., Tinggi, S., & Ekonomi, I. (2017). Perkembangan UMKM (Usaha Mikro Kecil Menengah) di Indonesia. Jurnal Ilmiah Cano Ekonomos, 6(1), 51–58.

Tampubolon, R. R., & Siagian, V. (2020). Pengaruh profitabilitas, solvabilitas, likuiditas dan audit tenure terhadap audit report lag dengan komite sebagai pemoderasi. Jurnal Ekonomi Modernisasi, 16(2), 82–95.

Thomas, V. F. (2020). Efek Corona pada Perbankan : Kredit dikurangi; Cabang tutup Temporer. https://tirto.id/efek-corona-pada-perbankan-kredit-dikurangi-cabang-tutup-temporer-fDpN

Tirapat, S., & Nittayagasetwat, A. (1999). An Investigation of Thai Listed Firms’ Financial Distress Using Macro and Micro Variables. Multinational Finance Journal, 3(2), 103–125. https://doi.org/10.17578/3-2-2

Wijaya, S. V., & Anantadjaya, S. P. (2014). Bankruptcy Prediction Model: An Industrial Study in Indonesian Publicly-Listed Firms During 1999-2010. RIBER: Review of Integrative Business & Economics Research, 3(1), 13–41.

Yusrizal, Y., & Fransisca, L. (2016). Analisis Rasio Keuangan untuk Memprediksi Kebangkrutan Bank Umum yang Terdaftar di Bursa Efek Indonesia Periode 2012-2016. Kurs: Jurnal Akuntansi, Kewirausahaan Dan Bisnis, 2016(78), 194–206.

Zmijewski, M. E. (1984). Methodological issues related to the estimation of financial distress prediction models. Journal of Accounting Research, 22, 59–82.