An Operational Risk Rating Model Approach to Better Measurement and Management of Operational Risk
Anthony Peccia
Development and Validation of Key Estimates for Capital Models
Explaining the Correlation in Basel II: Derivation and Evaluation
Explaining the Credit Risk Elements in Basel II
Loss Given Default and Recovery Risk: From Basel II Standards to Effective Risk Management Tools
Assessing the Validity of Basel II Models in Measuring Risk of Credit Portfolios
Measuring Counterparty Credit Risk for Trading Products under Basel II
Implementation of an IRB-Compliant Rating System
Stress Tests of Banks’ Regulatory Capital Adequacy: Application to Tier 1 Capital and to Pillar 2 Stress Tests
Advanced Credit Model Performance Testing to Meet Basel Requirements: How Things Have Changed!
Designing and Implementing a Basel II Compliant PIT–TTC Ratings Framework
Basel II in the Light of Moody’s KMV Evidence
Basel II Capital Adequacy Rules for Retail Exposures
IRB-Compliant Models in Retail Banking
Basel II Capital Adequacy Rules for Securitisations
Regulatory Priorities and Expectations in the Implementation of the IRB Approach
Market Discipline and Appropriate Disclosure in Basel II
Validation of Banks’ Internal Rating Systems – A Supervisory Perspective
Rebalancing the Three Pillars of Basel II
Implementing a Basel II Scenario-Based AMA for Operational Risk
Loss Distribution Approach in Practice
An Operational Risk Rating Model Approach to Better Measurement and Management of Operational Risk
Constructing an Operational Event Database
Insurance and Operational Risk
MODELLING OPERATIONAL RISK: WHAT FOR?
Partly in response to regulatory initiatives coming out of the Basel II proposals (see Basel Committee on Banking Supervision 2005) and partly in response to the fear of being left behind by their competitors, many banks are devoting resources to measure operational risk. As with any measurement process, whether it be key performance measures, market risk or operational risk, the success and the usefulness of the measurement depends less on the sophistication of the measurement model and more on two important elements: (1) what the measure tells management that otherwise would not be known, and (2) how the results of the measure will be used to influence management practice. These two elements are the most important result of the measurement process. This chapter presents an operational risk measurement model development process and a model that achieves this result.
To achieve any result, it is always best to have a clear picture of the desired outcome, and then design the components to achieve that outcome. In the case of operational risk modelling, the clear picture is a set of answers to be provided by the model to some very specific
Copyright Infopro Digital Limited. All rights reserved.
As outlined in our terms and conditions, https://www.infopro-digital.com/terms-and-conditions/subscriptions/ (point 2.4), printing is limited to a single copy.
If you would like to purchase additional rights please email info@risk.net
Copyright Infopro Digital Limited. All rights reserved.
You may share this content using our article tools. As outlined in our terms and conditions, https://www.infopro-digital.com/terms-and-conditions/subscriptions/ (clause 2.4), an Authorised User may only make one copy of the materials for their own personal use. You must also comply with the restrictions in clause 2.5.
If you would like to purchase additional rights please email info@risk.net