scholarly journals Calculating Operational Risk Capital Charges for Indonesian Rural Banks

2011 ◽  
Vol 1 (1) ◽  
pp. 286 ◽  
Author(s):  
Abdul Mongid ◽  
Izah Mohd Tahir
Keyword(s):  
Historical Data ◽  
Operational Risk ◽  
Banking Supervision ◽  
Risk Capital ◽  
Basel Committee ◽  
Operational Risks ◽  
Indicator Approach ◽  
New Basel Capital Accord ◽  
Capital Charge

In January 2001, the Basel Committee on Banking Supervision published a proposal for a new capital framework, the “New Basel Capital Accord (Basel 11)” thus replacing Basel 1. One of the major motivations in the proposal is the introduction of explicit capital charge for operational risks in the business activities of banks. The objective of this paper is to estimate operational risk capital charge using historical data for 77 rural banks in Indonesia for a three-year period, 2006 to 2008. This study uses three approaches:  (i) Basic Indicator Approach (BIA), (ii) Standardized Approach (SA) and (iii) Alternative Standardized Approach (ASA). We found that the average capital charge required to cover operational risk is IDR 154 million (1.5% of asset). When the calculation is conducted using the SA method, we found, on average a requirement of IDR 123 million (1.23% of asset). When the calculation is conducted using the Alternative Standardized Approach (ASA), the capital required was IDR 43 million (0.43% of asset). The results provide evidence that banks using more advance model require less capital charge.

scholarly journals RISIKO OPERASIONAL BANK DAN PERMODELANNYA

2019 ◽  
Vol 1 (1) ◽  
pp. 28-43
Author(s):  
Iwan Lesmana
Keyword(s):  
Risk Management ◽  
Management Practice ◽  
Operational Risk ◽  
Internal Controls ◽  
Banking Supervision ◽  
Risk Models ◽  
Basel Committee ◽  
Operational Risks ◽  
Indicator Approach ◽  
Measurement Approach

Managing bank’s operational risks becoming an important feature of sound risk management practice in modern financial markets. The most important types of operational risk involve breakdown in internal controls and corporate governance, which could lead to financial losses through fraud, error or failure to perform. Development of statistic has accelarated banks to create internal operational risk models in different ways. Although those models created in different ways, they surely use the pattern of risk management that is developed by Basel Committee on Banking Supervision. Basel Committee on Banking Supervision has proposed three increasingly sophisticated approaches of operational risk, i.e basic indicator approach, standardized approach and advanced measurement approach. Applying those approaches will help banks to eliminate the operational risk, that will lead them to a better intermediation process.

scholarly journals Roles and responsibilities for managing operational risk in a banking environment

2008 ◽  
Vol 5 (3) ◽  
pp. 34-46
Author(s):  
Jackie Young
Keyword(s):  
Risk Management ◽  
Operational Risk ◽  
Main Role ◽  
Banking Supervision ◽  
Operational Risk Management ◽  
Roles And Responsibilities ◽  
Global Institutions ◽  
Basel Committee ◽  
Operational Risks ◽  
Role Players

Operational risk management is one of the fastest growing management disciplines within a banking environment as a result of various disastrous international incidents. Subsequently, various global institutions got involved in order to ensure that the effect of similar events do not negatively influence the international industries, for example, the Basel Committee on Banking Supervision regarding banks. It is, however, a known fact that operational risks are difficult to manage, as it is not easy to quantify. Therefore, it is of the utmost importance to understand the concept of operational risk management and, more specifically, the actual roles and responsibilities of various role-players within an organisation. This paper aims to identify the main role-players involved in the management of operational risk in a banking environment and to identify their specific roles and responsibilities

scholarly journals Calculating capital requirements for operational risk

2021 ◽  
Vol 22 (1) ◽  
Author(s):  
Gerd Waschbusch ◽  
Sabina Kiszka
Keyword(s):  
Financial Crisis ◽  
Operational Risk ◽  
Capital Requirements ◽  
Banking Supervision ◽  
Future Measurement ◽  
Basel Committee ◽  
Operational Risks ◽  
Increased Risk ◽  
Risk Potential ◽  
Measurement Approach

Operational risks have become increasingly important for banks, especially against the background of growing IT dependency and the increasing complexity of their activities. Further-more, the corona pandemic contributed to the increased risk potential. Therefore, banks have to back these risks with own funds. There are currently three measurement approaches for determining the capital requirements for operational risk. In recent years, and especially during the Great Financial Crisis of 2007/2008, however, some of the weaknesses inherent in these approaches have become apparent. Thus, the Basel Committee on Banking Supervision revised the current capital framework. Therefore, this article examines the various measurement approaches, addresses inherent weaknesses and moreover, presents the future measurement approach developed by the supervisory authorities.

Statistical Models for Operational Risk

2011 ◽  
pp. 1848-1853
Author(s):  
Concetto Elvio Bonafede
Keyword(s):  
Statistical Models ◽  
Banking Sector ◽  
Financial Risks ◽  
Bank Capital ◽  
Basel Committee ◽  
Operational Risks ◽  
Credit Risks ◽  
New Basel Capital Accord ◽  
Bank Capital Requirement ◽  
Principal Elements

A statistical model is a possible representation (not necessarily complex) of a situation of the real world. Models are useful to give a good knowledge of the principal elements of the examined situation and so to make previsions or to control such a situation. In the banking sector, models, techniques and regulations have been developed for evaluating Market and Credit risks, for linking together risks, capital and profit opportunity. The regulations and vigilance standards on the capital have been developed from the Basel Committee founded at the end of 1974 by the G10. The standards for the capital’s measurement system were defined in 1988 with the “Capital Accord” (BIS, 1988); nowadays, it is supported from over 150 countries around the world. In January 2001 the Basel Committee published the document “The New Basel Capital Accord” (BIS, 2001), which is a consultative document to define the new regulation for the bank capital requirement. Such a document has been revisited many times (see BIS, 2005). With the new accord there is the necessity of appraising and managing, beyond the financial risks, also the category of the operational risks (OR) already responsible of losses and bankruptcies (Cruz (Ed.), 2004; Alexander (Ed.), 2003; Cruz, 2002).

scholarly journals Operational risk quantification and modelling within Romanian insurance industry

2017 ◽  
Vol 11 (1) ◽  
pp. 637-648
Author(s):  
Răzvan Tudor ◽  
Dumitru Badea
Keyword(s):  
Standard Model ◽  
Insurance Industry ◽  
Operational Risk ◽  
Solvency Ii ◽  
Capital Requirements ◽  
Capital Requirement ◽  
Risk Capital ◽  
Operational Risks ◽  
The Standard Model ◽  
Solvency Capital

Abstract This paper aims at covering and describing the shortcomings of various models used to quantify and model the operational risk within insurance industry with a particular focus on Romanian specific regulation: Norm 6/2015 concerning the operational risk issued by IT systems. While most of the local insurers are focusing on implementing the standard model to compute the Operational Risk solvency capital required, the local regulator has issued a local norm that requires to identify and assess the IT based operational risks from an ISO 27001 perspective. The challenges raised by the correlations assumed in the Standard model are substantially increased by this new regulation that requires only the identification and quantification of the IT operational risks. The solvency capital requirement stipulated by the implementation of Solvency II doesn’t recommend a model or formula on how to integrate the newly identified risks in the Operational Risk capital requirements. In this context we are going to assess the academic and practitioner’s understanding in what concerns: The Frequency-Severity approach, Bayesian estimation techniques, Scenario Analysis and Risk Accounting based on risk units, and how they could support the modelling of operational risk that are IT based. Developing an internal model only for the operational risk capital requirement proved to be, so far, costly and not necessarily beneficial for the local insurers. As the IT component will play a key role in the future of the insurance industry, the result of this analysis will provide a specific approach in operational risk modelling that can be implemented in the context of Solvency II, in a particular situation when (internal or external) operational risk databases are scarce or not available.

scholarly journals Internal Controls and Credit Risk in European Banking: The Basel Committee on Banking Supervision Framework Approach

2020 ◽  
Author(s):  
Ellis Kofi Akwaa-Sekyi
Keyword(s):  
Financial Crisis ◽  
Credit Risk ◽  
Internal Control ◽  
Internal Controls ◽  
Banking Supervision ◽  
Basel Committee ◽  
Operational Risks ◽  
Control Framework ◽  
Governance Practices ◽  
European Banking

Poor corporate governance practices have been cited as contributory to the 2007 global financial crisis. The chapter explores a qualitative self-regulation approach to address a major risk facing banks using the Basel Committee on Banking Supervision (BCBS) framework of internal controls. The study examines the effect of the qualitative principles of the BCBS internal control framework on credit risk. Corporate institutions use internal control frameworks to address the most operational risks, but the current study hypothesizes a possible relation with the credit risk. This research covers banks from selected EU countries covering some period before and after the 2007 financial crisis using a fixed-effect model. We report a significant relationship between board functions and activities, board structure and board monitoring, and credit risk. The results indicate that investment in high-risk assets, bank profitability and board chair being ex-CEO increases credit risk in European banking. The chapter extends the scope of a previous work that used the elements of the COSO internal control framework on a single country. This quantitative measure of qualitative constructs of the framework complements existing research that uses algorithms and simulations to study credit risk.

scholarly journals ANALISA PENGUKURAN BEBAN MODAL RISIKO OPERASIONAL METODE BASIC INDICATOR APPROACH (BIA) DAN ADVANCE MEASUREMENT APPROACH (AMA) DI BANK EFG

2020 ◽  
Vol 21 (1) ◽  
pp. 14-20
Author(s):  
Edian Fahmy
Keyword(s):  
Value At Risk ◽  
Goodness Of Fit ◽  
Geometric Distribution ◽  
Operational Risk ◽  
Risk Capital ◽  
Loss Distribution ◽  
Indicator Approach ◽  
External Events ◽  
Measurement Approach

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.

scholarly journals Informing IT Managers - Why the Bank for International Settlements is Establishing a Capital Charge Guideline for Operational Risk: the Australian Evidence

10.28945/2585 ◽  
2002 ◽  
Author(s):  
Christopher Viney
Keyword(s):  
Risk Management ◽  
Management Practices ◽  
Operational Risk ◽  
Disaster Risk ◽  
Disaster Risk Management ◽  
Risk Capital ◽  
It Managers ◽  
Business Functions ◽  
Bank For International Settlements ◽  
Capital Charge

IT managers within financial institutions must understand and be able to respond to the operational, financial and regulatory impacts that will result from a loss of critical business functions. The Basel Committee on Banking Supervision, through the Bank for International Settlements (BIS) has circulated a consultative paper which, if eventually adopted by nation-state bank supervisors, will impose an operational risk capital charge on banks as part of the new Capital Accord. Banks will also be required to record and report operational risk occurrences or events. This paper presents data on aspects of the disaster risk management practices of banks operating within the Australian financial system. The data indicate that banks, as a group, do not maintain effective disaster risk management practices and are not adequately prepared to recover a loss of critical business functions. The results clearly support the necessity of the BIS initiatives.

Sign in / Sign up

Export Citation Format

Share Document