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Measurement, Data & Capital

Report - June 2024

Download the latest Annual Banking Operational Risk Loss Data Report for analysis of recent trends in our global banking loss database.


This report provides an overview of the key characteristics of operational risk loss data and identifies current industry trends.

The report is available to ORX members to download for free, or for non-members to purchase for £1,500.


What's in the report

This report provides insights and analysis into operational risk losses in the banking sector. The report is based on the operational risk loss data in the ORX global banking database and includes:

  • Loss frequency and severity from 2018 to 2023
  • Average size of an operational risk event and total gross loss as a percentage of income across the industry
  • Total loss and frequency submitted in each business line and event type between 2018 to 2023
  • Typical levels of loss as a proportion of income across the ORX membership within each business line
  • Analysis of the frequency and severity of loss in each event type by year
  • Risk in focus sections on external fraud and clients, products & business practices
  • Analysis of the distribution of industry loss including a look at some tail measures of industry loss
  • Geographic distribution of losses

Order your copy of the report today for just £1,500.

 

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Disclaimer: ORX has prepared this resource with care and attention. ORX does not accept responsibility for any errors or omissions. ORX does not warrant the accuracy of the advice, statement or recommendations in this resource. ORX shall not be liable for any loss, expense, damage or claim arising from this resource. The content of this resource does not itself constitute a contractual agreement, and ORX accepts no obligation associated with this resource except as expressly agreed in writing. ©ORX 2024


Contacts:

Sarah Astill

Sarah Astill

Head of Risk Measurement, ORX

Steve Bishop

Steve Bishop

Research and Information Director, ORX

Jack Lewton

Jack Lewton

Lead Data Analyst, ORX