Estimation of Maximum Potential Losses for Digital Banking Transaction Risks Using the Extreme Value-at-Risks Method

Author:

Saputra Moch Panji AgungORCID,Sukono ,Chaerani DiahORCID

Abstract

The application of industry 4.0 in banking presents many challenges, with several operational risks related to downtime and timeout services due to system failures. One of the operational risk management steps is to estimate the value of the maximum potential losses. The purpose of this study is to estimate the maximum potential losses for digital banking transaction risks. The method used for estimating risks is the EVaR method. There are several steps in this study. The first step is to resample the data using MEBoot. This process is a simulation of the operational risk loss data of digital banking. Next, the threshold value is determined to obtain the extreme data value. Then, a Kolmogorov–Smirnov test is conducted to fit the data with the GPD. Afterward, the GPD parameter is estimated. Then, EVaR is calculated using a portfolio approach to obtain a combination of risk values as maximum potential losses. The analysis results show that the maximum potential loss is IDR144,357,528,750.94. The research results imply that the banks need to pay attention to the maximum potential losses of digital financial transactions as a reference for risk management. Therefore, banks can anticipate the adequacy of reserve funds for these potential risks.

Funder

Padjadjaran University

Publisher

MDPI AG

Subject

Strategy and Management,Economics, Econometrics and Finance (miscellaneous),Accounting

Reference60 articles.

1. Operational Risk Quantification Using Extreme Value Theory and Copulas: From Theory to Practice

2. Risk Management, Corporate Governance, and Bank Performance in the Financial Crisis;Aebi;Journal of Banking & Finance,2012

3. Analytical Study on Internet Banking System;AlAbdullah;Journal of Computing,2010

4. Regulatory Consistency Assessment Programme (RCAP)—Assessment of Basel III Risk-Based Capital Regulations—Indonesia,2016

5. Annual Report Bank Indonesiahttps://www.bi.go.id/id/publikasi/laporan/Documents/Laporan_Keuangan_Tahunan_BI_Tahun-2020.pdf

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