ANALISA PENGUKURAN BEBAN MODAL RISIKO OPERASIONAL METODE BASIC INDICATOR APPROACH (BIA) DAN ADVANCE MEASUREMENT APPROACH (AMA) DI BANK EFG
DOI:
https://doi.org/10.29103/e-mabis.v21i1.474Keywords:
Risiko operasional, capital charge, Basic Indicator Approach, Advanced Measurement ApproacchAbstract
This study aims to compare the magnitude of operational risk losses between the Basic Indicator Approach (BIA) method, and the loss distribution model in the Advanced Measurement Approach (AMA) approach so as to provide a more realistic picture for banks to determine the operational risk capital burden that must be provided based on the causes Operational risks are as follows Internal Process, Human and External Events. Measurement of operational risk capital burden by the AMA method is the determination of frequency of loss distribution, determination of severity of loss distribution, testing with goodness of fit test, then compilation of aggregated loss distribution, calculation of Operational Value at Risk (OpVar), testing the model with back testing and comparison of capital adequacy from the results of the calculation of the Basic Indicator Approach (BIA) and the Advance Measurement Approach (AMA). The results of research based on the BIA require an operational risk capital cost of Rp.291,652,000,000. The results of the research on the AMA approach use the frequency of loss distribution parameter for the internal causes of the process with a Geometric distribution of 0.17561, while for the human cause of 0.08511, for the cause of external events amounting to 0.83721. Determination of Frequency of Loss Distribution using Goodness of Fit for internal processes, people and external events. The results of the Operational Value at Risk (OpVar) with a geometric distribution pattern, then the maximum loss that can arise due to human factors is Rp.24,114,480,096, -, for internal process factors of Rp.6,010,929,367, whereas for external causes for Rp. 2,161,092,909. In total operational risk capital needs through the AMA method of Rp. 32,286,502,372.
References
A Suhartono, W Jati, D Sunarsi. (2019). Pengaruh Earning Per Share Dan Return On Asset Terhadap Harga Saham Pada PT. Bank Negara Indonesia Tbk Periode 2009-2018. Jurnal Manajemen, Bisnis dan Organisasi (JUMBO) 3 (3), 182-194.
Bank for International Settlement, (2004), International Convergence of Capital Measurement and Capital Standards (A Revised Framework), BCBS.
Bank Indonesia, (2003), Pedoman Penerapan Manajemen Risiko Bagi Bank Umum, Direktorat Penelitian dan Pengaturan Perbankan Bank Indonesia.
Bank Indonesia, (2005), Kewajiban Penyediaan Modal Minimum bagi Bank Umum
Bank Indonesia, (2011), Penerapan Manajemen Risiko Bagi Bank Umum Syariah dan Unit Usaha Syariah, Direktorat Penelitian dan Pengaturan Perbankan Bank Indonesia.
Bessis, Joel, (2002), Risk Management in Banking, John Wiley & Son, Ltd
Bratanovic, Greuning, (2009), Analisis Risiko Perbankan, Salemba Empat
Chernobai, Rachev, Fabozzi, (2007), Operational Risk, A Guide to Basel II Capital Requirement, Models, and Analysis, John Willey & Sons, Inc.
D Sunarsi. (2014). Pengaruh Gaya Kepemimpinan, Motivasi dan Disiplin Kerja Terhadap Kinerja Pendidik. Universitas Pamulang
Ghozali, Imam, (2007), Manajemen Risiko Perbankan, Badan Penerbit Universitas Diponegoro.
Global Association of Risk Professionals, (2005), Indonesia Certificate In Banking Risk and Regulation, Workbook Tingkat 1, Badan Setifikasi Manajemen Risiko
Gumilar, I., Sunarsi, D. (2020). Comparison of financial performance in banking with high car and low car (Study of banks approved in the kompas 100 index for the period 2013-2017). International Journal of Psychosocial Rehabilitation. Volume 24 - Issue 7
Idroes, N Ferry, (2008), Manajemen Risiko Perbankan, Rajawali Pers
Jobst, Andreas A, (2007), It’s all in the data – consistent operational risk measurement and regulation, Journal of Financial Regulation andComplianceVol. 15 No. 4, 2007, Emerald Group Publishing Limited.
Maddinsyah, A., Sunarsi, D., Hermawati, R., Pranoto. (2020). Analysis of location selection effect on the user decision that influcence the success of the service business of micro, small and medium enterprise (MSME) in bandung timur region. International Journal of Advanced Science and Technology. Vol. 29 No. 06
Miller, Michael B, (2012), Mathematics and Statistics for Financial Risk Management, John Willey & Sons, Inc.
Muslich, Muhammad, (2007), Manajemen Risiko Operasional, Bumi Aksara.
Romadhona, Novilia, (2006), Pengukuran Risiko Operasional Dengan Metode Aggregating Value At Risk (Kasus Pada Bank DEF), MMUI
Supardi, (2013), Aplikasi Statistika Dalam Penelitian, Change Publication.
Widarjono, Agus, (2013), Ekonometrika, Pengantar dan Aplikasinya, UPP STIM YKPN
www.emeraldinsight.com Yang Melaksanakan Kegiatan Usaha Berdasarkan Prinsip Syariah, Direktorat Penelitian dan Pengaturan Perbankan Bank Indonesia.
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