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Risk programme

Measurement, Data & Capital

Resource explorer

Explore all ORX’s risk measurement resources using this interactive explorer. This tool allows you to easily find ORX resources on model development, stress testing and topics related to the use of event data.


The interactive explorer brings together resources from ORX Membership, ORX Cyber, ORX News and ORX Scenarios. You will only be able to access them if your firm subscribes to the relevant service.

To find resources, click on the risk measurement area that you would like to read related resources for. To quickly navigate through the page, you can also use the contents on the left. 


 

Interactive Risk Measurement Resources Explorer

ORX Risk Measurement Explorer
 

Model development

Though the banking industry has moved away from AMA models, the need for a robust model for quantifying operational risk remains. The business requirement to measure risks for the purpose of better managing risks is one driver of this, as is the need for a robust model for Pillar II which builds on past learnings about how to effectively model complex, heavy tailed distributions.

The resources below will support you with benchmarking and understanding of industry practice.

Stress testing

The complexity and resource demands of stress tests can vary hugely between jurisdictions although many common challenges exist.

The resources below will support you with benchmarking and understanding of industry practice.

Use of event data

Historic event data is a valuable resource with which to build a model; understand relations to external factors; observe industry trends; and benchmark performance. For such uses to lead to actionable outcomes there must be an appropriate degree of focus on data quality.

For resources and tools which will help you to get maximum benefit from the ORX event data and understand the ORX standards for sharing event data, please see below.

Contacts:

Sarah Astill

Sarah Astill

Head of Risk Measurement, ORX

Martin Monakhov

Martin Monakhov

Research Manager, ORX