Pengaruh Faktor Internal Bank dan Makroekonomi Terhadap Prediksi Krisis Perbankan Syariah di Indonesia Dengan Menggunakan CD Indeks Periode 2016 – 2020
DOI:
https://doi.org/10.26740/jim.v11n1.p1-12Kata Kunci:
Banking crisis; Internal Bank; Macroeconomy.Abstrak
Abstract
The purpose of this study is to analyze the Bank's volatility in the face of the banking crisis in the period 2016-2020. This type of research is a type of quantitative research. Research design using kausal research. The population in this study is Indonesia's corporate banking sector in 2016-2020. A sample of 11 banks has published financial reports in 2016-2020. The data analysis technique used in this study is logistical regression analysis and with Crisis and Default Index measurements. The results of the analysis of the data in this study are that there is a negative impact of capital practised by the Capital Adequacy Ratio on the banking crisis. There is no negative impact of asset quality practised by the Non Performing Fund on the banking crisis. There is no positive impact of Management on the banking crisis. There's a negative effect of Earning being practised with Return On Assets on the banking crisis. There is a positive impact of liquidity that is practised with Loan to Deposit Ratio on the banking crisis. There's a negative impact of Sensitivity to Market Risk on the banking crisis. There is a negative impact of the economic growth of the Rile on the banking crisis. There is a positive impact of inflation on the banking crisis.
Referensi
Andari & Wiksuana. (2017). RGEC sebagai Determinasi dalam Menanggulangi Financial Distress pada Perusahaan Perbankan di Bursa Efek Indonesia. E-Jurnal Manajemen Unud, 6(1), 116-145.
Firdaus, R. N. (2015). Pengaruh Faktor Imternal dan Eksternal yang Memengaruhi Pembiayaan Bermasalah pada Bank Umum Syariah di Indonesia.Fakultas Ekonomi dan Bisnis Universitas Brawijaya. (Vol. 3), 321-334.
Hamida, D., Ahmar, N., & Djaddang, S. (2018). Determinan prediksi krisis perbankan berbasis banking sector fragility index. JIAFE (Jurnal Ilmiah Akuntansi Fakultas Ekonomi), 3(2), 1-16.
Kasmir. (2012). Bank dan Lembaga Keuangan Lainnya. Jakarta: Rajawali Press.
Mahmood, H., Waheed, A., & Khalid, S. (2014). Role of Macroeconomic Indicators in Banking Crisis. Academic Research International, 5(2). www.savap.org.pk205www.journals.savap.org.pk
Oktavilia, S. (2008). Deteksi Dini Krisis Perbankan Indonesia: Identifikasi Variabel Makro dengan Model Logit. In JEJAK (Vol. 1, Issue 1).
Sari, R.M. & Musdholifah. (2016). Implementing The Banking Sector Soundness Index (BSS) for Predicting Banking Crisis. Researchers World, 7(4), 114-122.
Sumani, (2017). Prediksi Kebangkrutan Bank dengan Menggunakan Analisis Diskriminan (Studi Kasus pada Bank yang Terdaftar di Bursa Efek Indonesia). Mathunesa: Jurnal Ilmiah Matematika, 1(6). 8-13.
Unduhan
Diterbitkan
Cara Mengutip
Terbitan
Bagian
Lisensi

Artikel ini berlisensi Creative Commons Attribution-NonCommercial 4.0 International License.
Abstract views: 585
,
PDF Downloads: 558







