Scotiabank Turns to Cloud GPUs for Risk Calculations
The Canadian bank has significantly improved the time it takes to run XVA calculations, and has big plans to further expand its XVA cloud GPU program.
At the end of 2016 into 2017, Scotiabank initiated a project that would allow it to use cloud GPUs to run its valuation adjustments (XVA) program. With the project gaining traction, the results have been impressive.
According to the bank, the runtime for risk calculations and derivatives pricing using cloud GPUs is 30 times faster, allowing brokers to deliver more accurate derivatives pricing in 20 seconds, which would previously have taken 10 minutes. It also allows for more nuanced risk
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@waterstechnology.com or view our subscription options here: https://subscriptions.waterstechnology.com/subscribe
You are currently unable to print this content. Please contact info@waterstechnology.com to find out more.
You are currently unable to copy this content. Please contact info@waterstechnology.com 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@waterstechnology.com
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@waterstechnology.com
More on Data Management
AI for data quality control catches on at institutions
Data execs at banks and asset managers say they are working on projects using AI to improve data-quality workflows.
Mercury rising as Cboe shutters Trade Alert
Trade Alert is the latest business arm to be shut down by Cboe, but a former staffer has set up Mercury Alerts to replace it.
Private credit has outgrown its spreadsheets
Private credit severely lacks operating leverage, writes Daniel Hellwig, but standardizing how terms are recorded and applying AI could inch it toward maturity.
JP Morgan retools Isda’s CDM for an AI world
The trade repository runs on a niche programming language, to which the bank has made new contributions that could help raise adoption.
Kalshi recruits TradFi partners for institutional build-out
The prediction market has inked partnerships with Tradeweb, BMLL, and others as it aims to give institutions familiarity in an emerging market.
Examining Google’s jump into financial research with enterprise Gemini
Google partners like Deutsche Bank and FactSet are using the offering to augment their own AI strategies.
SIX is preparing its data for clients that aren’t people
The Swiss exchange operator is betting that context and lineage will keep its market data relevant if AI agents become primary data consumers.
AI assistants for human overseers? Or human checks and balances for AI actors?
The Waters Wrap: Speakers at a recent Bloomberg event emphasized the importance of keeping a human in the AI loop—but, Max asks, for how long?