Cutting Edge introduction: Computation, computation, computation
Today’s modelling approaches can require huge computing power, but help is at hand. Laurie Carver introduces this month’s technical articles, each of which covers a different method of achieving computation-friendly results
Complicated mathematical models are all very well, but if they are too unwieldy they are no use to banks. Amenability to computation has become a prized feature in today’s modelling approaches, partly because risks have to be calculated at the portfolio level – and this requires potentially huge amounts of computing power.
There are two ways to achieve this – techniques from computer science can be used to speed up calculation, or models can be developed that are inherently more computation
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
An AI-first approach to model risk management
Firms must define their AI risk appetite before trying to manage or model it, says Christophe Rougeaux
BofA sets its sights on US synthetic risk transfer market
New trading initiative has already notched at least three transactions
Op risk data: At Trafigura, a $1 billion miss in Mongolia
Also: Insurance cartels, Santander settlement and TSB’s “woeful” customer treatment. Data by ORX News
Cyber risk can be modelled like credit risk, says Richmond Fed
US supervisors may begin to use historical datasets to assess risk at banks and system-wide
The changing shape of risk
S&P Global Market Intelligence’s head of credit and risk solutions reveals how firms are adjusting their strategies and capabilities to embrace a more holistic view of risk
To liquidity and beyond: new funding strategies for UK pensions and insurance
Prompted by policy shifts and macro events, pension funds and insurance firms are seeking alternative solutions around funding and liquidity
More cleared repo sponsors join Eurex ahead of cross-margining
End of TLTROs for banks and pension fund search for liquidity management tools drives uptake
Reimagining model risk management: new tools and approaches for a new era
A collaborative report by Chartis and Evalueserve on how the use of automation can combat the growing complexity of managing model risk due to regulation and market volatility
