![Risk.net](https://www.risk.net/sites/default/files/styles/print_logo/public/2018-09/print-logo.png?itok=1TpHrpuP)
Reducing risk through insurance
In this article, Silke Brandts describes a general algorithm for quantifying the risk-mitigating impact of operational risk insurance. She then presents a simple haircut approach to incorporate residual risks inherent in the insurance contracts into the model and confronts it with an approach based on a stochastic model. Finally, she shows that the haircut approach may significantly underestimate the occurrence of loss clusters and tail events
Insurance against operational risk losses is widely used by financial institutions and can present a powerful risk-mitigating instrument by changing the gross loss distribution. The impact of insurance on regulatory capital, however, is subject to a series of qualitative and methodological requirements set out by the regulators. These requirements can be separated into (1) formal requirements concerning the insurance provider and the contract, and (2) the treatment of residual risks inherent in
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 Risk management
Information security: mind the first-line gap
G-Sibs’ second-line cyber teams still growing, survey shows; others are overhauling KRIs and switching vendors
Insurers deny cyber premiums are rising
Contrary to banks’ complaints, underwriters and brokers claim current market for policies is soft
Stage fright: lenders still struggling with IFRS 9 transitions
Divergence in how banks move loans between stages of impairment prompts regulators to push for more homogenous approach
Model risk mitigation for pricing services: from the model owner’s lens
Financial markets rely heavily on quantitative models for decision-making, making effective model risk management crucial. Attika Raj, senior specialist, complex securities pricing at LSEG Data & Analytics, emphasises the importance of the first line of…
Op Risk Benchmarking 2024: the G-Sibs
Eleven large banks feature in round II, with new data points on first-line risk teams, taxonomies and AI adoption
Fed urged to introduce annual high-rate stress tests
Results of debut scenario were reassuring, but regulators cannot lower their guard
Cyber insurance costs still rising, say big banks
Op Risk Benchmarking: Cost of covering same exposure as last year now “somewhat” or “significantly” higher
Op risk data: UBS takes a giant Greensill pill
Also: Nasdaq insider trading rap; Trafigura travesty; further Citi fat-finger fail. Data by ORX News