Selecting severity models
Obtaining a suitable loss severity distribution is a challenge for firms modelling operational risk. Marcelo Cruz assesses the goodness-of-fit tests that are used to validate severity distributions
Statistical distribution modelling in operational risk has made significant progress in the past 10 years. As is widely known, for firms using the loss distribution approach (LDA) the operational value-at-risk is calculated using a combination of frequency and severity. Frequency is usually modelled by the Poisson distribution, with many firms also using the negative binomial as an alternative
Only users who have a paid subscription or are part of a corporate subscription are able to print or copy content.
To access these options, along with all other subscription benefits, please contact info@risk.net or view our subscription options here: http://subscriptions.risk.net/subscribe
You are currently unable to print this content. Please contact info@risk.net to find out more.
You are currently unable to copy this content. Please contact info@risk.net to find out more.
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
More on Operational risk
Evalueserve tames GenAI to boost client’s cyber underwriting
Firm’s insurance client adopts machine learning to interrogate risk posed by hackers
Integrated GRC solutions 2024: market update and vendor landscape
In the face of persistent digitisation challenges and the attendant transformation in business practices, many firms have been struggling to maintain governance and business continuity
Vendor spotlight: Dixtior AML transaction monitoring solutions
This Chartis Research report considers how, by working together, financial institutions, vendors and regulators can create more effective AML systems
Financial crime and compliance50 2024
The detailed analysis for the Financial crime and compliance50 considers firms’ technological advances and strategic direction to provide a complete view of how market leaders are driving transformation in this sector
Automating regulatory compliance and reporting
Flaws in the regulation of the banking sector have been addressed initially by Basel III, implemented last year. Financial institutions can comply with capital and liquidity requirements in a natively integrated yet modular environment by utilising…
Investment banks: the future of risk control
This Risk.net survey report explores the current state of risk controls in investment banks, the challenges of effective engagement across the three lines of defence, and the opportunity to develop a more dynamic approach to first-line risk control
Op risk outlook 2022: the legal perspective
Christoph Kurth, partner of the global financial institutions leadership team at Baker McKenzie, discusses the key themes emerging from Risk.net’s Top 10 op risks 2022 survey and how financial firms can better manage and mitigate the impact of…
Emerging trends in op risk
Karen Man, partner and member of the global financial institutions leadership team at Baker McKenzie, discusses emerging op risks in the wake of the Covid‑19 pandemic, a rise in cyber attacks, concerns around conduct and culture, and the complexities of…
