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
Fidelity expands open-source ambitions as attitudes and key players shift
Waters Wrap: Fidelity Investments is deepening its partnership with Finos, which Anthony says hints at wider changes in the world of tech development.
Data standardization key to unlocking AI’s full potential in private markets
As private markets continue to grow, fund managers are increasingly turning to AI to improve efficiency and free up time for higher-value work. Yet fragmented data remains a major obstacle.
Digital employees have BNY talking a new language
Julie Gerdeman, head of BNY’s data and analytics team, explains how the bank’s new operating model allows for quicker AI experimentation and development.
Can mastering data solve AI’s cognitive dissonance?
The IMD Wrap: Bank execs are still bullish on AI, but recent studies suggest it’s not the panacea they’re making it out to be. Can the two views be rectified?
Everything you need to know about market data in overnight equities trading
As overnight trading continues to capture attention, a growing number of data providers are taking in market data from alternative trading systems.
AI strategies could be pulling money into the data office
Benchmarking: As firms formalize AI strategies, some data offices are gaining attention and budget.
Identity resolution is key to future of tokenization
Firms should think not only about tokenization’s potential but also the underlying infrastructure and identity resolution, writes Cusip Global Services’ Matthew Bastian in this guest column.
Vendors are winning the AI buy-vs-build debate
Benchmarking: Most firms say proprietary LLM tools make up less than half of their AI capabilities as they revaluate earlier bets on building in-house.