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
Winning M&A depends on a strong data and technology strategy
As M&A activity grows, Fenergo’s Tracy Moore writes on how to prioritize technological readiness and deal pay-off.
The CAT’s health crisis continues
The Waters Wrap: As the comment period for changes to the Consolidated Audit Trail ends, where does the path lead to now?
EU exchanges shake up data policies ahead of new pricing rules
As each EU exchange interprets the RCB regulation differently, market data users across the industry are left to grapple with the new pricing policies changes
CJC speeds up data notifications with new ‘Hub’
The consultancy’s DN Hub aims to help investment firms automate the largely manual task of managing data notifications from exchanges and vendors.
Where a US antitrust case and a data law meet
The Waters Wrap: Regulators’ choice not to endorse a securities identifier under a new law keeps business as usual for firms required to pay Cusip license fees—but Reb isn’t ruling out a shake-up just yet.
Why generic AI approaches really struggle with investment data
For investment management firms experimenting with LLMs, the results often fall short of expectations. Bharath Reddy of Finbourne says firms should examine the architecture that sits between the model and the data.
UK’s bond consolidated tape goes live
ETS Connect UK has spent the past month ensuring the technology, compliance, and operations are in place.
AWS, Moody’s latest play shows further proof of MCP’s rise on Wall Street
The rating agency is building on a long-standing relationship with Amazon Web Services to deliver data and insights to clients.
