ANALISIS POTENSIAL FINANCIAL DISTRESS PADA BANK UMUM KONVENSIONAL INDONESIA PERIODE 2018-2021

  • Mintarti Ariani Universitas Surabaya
Abstract Views: 477 times
PDF (Bahasa Indonesia) Downloads: 876 times
Keywords: Financial Distress, Zwijewski model, Financial Statements

Abstract

The financial sector is one sector that is always overshadowed by various potential risks. These risks need to be anticipated by banks. Failure to manage risk will affect the bank's financial condition, one of which will lead to potential financial distress. Therefore, the ability of conventional commercial banks is needed to predict the potential for financial distress. The more banks cannot predict the potential for financial distress, it will lead to bankruptcy.

This study aims to analyze the Zmijewski model (X-Score) in order to predict financial distress in conventional commercial banks. The object of research is the 13 conventional commercial banks that get the highest rating score from Forbes. Forbes released The World's Best Banks in 2022 by determining the best bank in Indonesia. The variable in this study is to take the cut-off value presented in the Zmijewski model (X-score). The study uses a descriptive approach with secondary data types sourced from the annual financial statements of the Financial Services Authority (OJK) from 2018-2021. The results show that in the Zmijewski model, based on the average X-score, there are 3 conventional commercial banks that are detected as having the potential to experience financial distress. The 3 conventional commercial banks are Bank Jago, Bank Neo Commerce and May Bank. The potential for financial distress is reflected in the results of the profitability ratio (return to assets), which during the observation period there was a tendency to decrease, especially at Bank Jago with the profitability ratio always losing

Downloads

Download data is not yet available.

References

Andre, O. dan Taqwa, Salma. (2014). Pengaruh Profitabilitas , Likuiditas , dan Leverage Dalam Memprediksi Financial Distress (Studi Empiris Pada Perusahaan Aneka Industri yang Terdaftar di BEI Tahun 2006-2010). Jurnal WRA. 2(1), 293–312. doi.org/10.24036/wra.v2i1.6146
Bisnis.com. 15 April 2022. Daftar 20 Bank Terbaik di Indonesia 2022 Versi Forbes, Ada BCA (BBCA) hingga Bank Jago (ARTO). (Di akses, Senin 3 Oktober 2022). https://finansial.bisnis.com .
Fadilla. (2019). Analisis Kebangkrutan pada Bank Syariah Mandiri Periode 2014-2017. Islamic Banking Volume 5 Nomor 1 Edisi Agustus 2019. doi.org/10.36908/isbank.v5i1.68
Giovanni, Axel., Utami, Devi Wahyu & Yuzevin, Thesya. (2020). Leverage dan profitabilitas dalam memprediksi financial distress perusahaan pertambangan periode 2016-2018. Journal of Business and Banking. ISSN 2088-7841. Volume 10 Number 1, 151-167. doi.org/10.14414/jbb.v10i1.2292
Hanafi, Mahmud M. (2014). Manajemen Keuangan. Cetakan ke-7. Yogyakarta, BPFE.
Idntimes. 8 September 2022. 20 Bank Terbaik di Indonesia 2022 Versi Forbes, BCA Memimpin (Diakses, Minggu 2 Oktober 2022). https://www.idntimes.com
Jayasekera, Ranadeva. (2018). Prediction Of Company Failure: Past, Present And Promising Directions For The Future, International Review of Financial Analysis, 55, 196–208. doi.org/ 10.1016/j.irfa.2017.08.009
Junaidi. (2016). Pengukuran Tingkat Kesehatan dan Gejala Financial Distress pada Bank Umum Syariah di Indonesia. KINERJA, Volume 20, No.1, 42-52 doi.org/10.24002/kinerja.v20i1.696
Kasmir. (2016). Dasar-Dasar Keuangan. Edisi 2. PT. Jakarta, Raja Grafindo Persada
Kawulur, H.R. (2021). Analisis Perbandingan Model Kesulitan Keuangan Studi Pada Bank Bukopin Tbk. E-Jurnal Akuntansi, 31(6), 1541-1548. doi.org/10.24843/EJA.2021.v31.i06.p15]]
Khoja, L., Chipulu, M. dan Jayasekera, R. (2019). Analysis of Financial Distress Cross Countries: Using Macroeconomic, Industrial Indicators and Accounting Data. International Review of Financial Analysis, 66(February), 101379. doi 10.1016/j.irfa.2019.101379.
Liang, D. (2016). Financial Ratios And Corporate Governance Indicators In bankruptcy Prediction: A Comprehensive Study’, European Journal of Operational Research, 252(2), 561–572. doi.org/ 10.1016/j.ejor.2016.01.012
Munawarah. (2019) Zmijewski dan Springate : Analisis Diskriminan dalam Memprediksi. Volume 15 Number 1, Page 1-8. AKUISISI Jurnal Akuntansi ONLINE ISSN : 2477-2984 – PRINT ISSN : 1978-6581. doi.org/10.24127/akuisisi.v15i1.279
Otoritas Jasa Keuangan. 2016. Peraturan Otoritas Jasa Keuangan No. 18/Peraturan Otoritas Jasa Keuangan.03/2016
Permana, R. K., Ahmar, N., & Djaddang, S. (2017). Prediksi Financial Distress pada Perusahaan Manufaktur di Bursa Efek Idonesia. Jurnal Bisnis dan Manajemen, Vol. 7 (2), 149-166. htps://doi.org/ 10.15408/ess.v7i2.4797
Putro, Eko Brahmantiyo dan Pratama, Fajar. (2018). Analisis Model Prediksi Kebangkrutan Industri Garmen dengan Menggunakan Metode Altman Z- Score. Jurnal Media Teknik & Sistem Indonesia. Vol.1, 1-10. doi.org/10.35194/jmtsi.vIi0.45
Santoso,R,O,P., Nany,M dan Suprayitno (2020). Faktor-faktor yang Mempengaruhi Tingkat Kesehatan Perusahaan Manufaktur yang Terdaftar di Bursa Efek Indonesia. Jurnal Akuntansi dan Sistem Teknologi Informasi Vol. 16 Edisi Khusus Juni 2020: 280 – 293. doi.org/10.33061/jasti.v16i3.4436)
Wulandary, V & Nur, E. (2014). Analisis Perbandingan Model Altman, Springate, Ohlson, Fulmer, CA-Score dan Zmijewski Dalam Memprediksi Kesulitan Keuangan (Studi Empiris Pada Perusahaan Food and Beverages yang Terdaftar di Bursa Efek Indonesia Periode 2010-2012). JOM FEKOM, Vol. 1(No. 2), 1-18.
Published
2022-11-28
How to Cite
Ariani, M. (2022). ANALISIS POTENSIAL FINANCIAL DISTRESS PADA BANK UMUM KONVENSIONAL INDONESIA PERIODE 2018-2021. Ekonomi Dan Bisnis: Berkala Publikasi Gagasan Konseptual, Hasil Penelitian, Kajian, Dan Terapan Teori, 26(2), 99 - 106. https://doi.org/10.24123/jeb.v26i2.5295
Share |