About a-team Marketing Services
The knowledge platform for the financial technology industry
The knowledge platform for the financial technology industry

A-Team Insight Briefs

Nasdaq Launches XVA Accelerator for Enhanced Risk Modelling

Subscribe to our newsletter

Nasdaq has unveiled a new machine learning-driven methodology for conducting risk calculations and generating predictive analytics for investment portfolios. The innovative functionality will be integrated into Nasdaq’s Calypso platform, widely used by banks, insurers, and other financial institutions to access capital markets, manage risk, and comply with regulatory reporting requirements.

The new system, XVA Accelerator, is designed to address the increasing complexity of derivative pricing models, particularly the computationally intensive process of calculating Value Adjustments (XVA) in over-the-counter (OTC) derivatives trading. These adjustments, which include Credit Valuation Adjustments (CVA), account for the risk, funding, and capital costs inherent in such transactions. Nasdaq’s solution employs advanced machine learning alongside mathematical modelling to significantly improve the speed and efficiency of these calculations.

At the core of the XVA Accelerator is a technique based on Chebyshev Tensors, developed in collaboration with MoCaX Intelligence. This patented approach allows for the rapid convergence of scenario-based risk assessments, reducing the time and computational power required for the most complex calculations by up to 100-fold. This enhancement is critical as banks face rising regulatory demands, such as those introduced under Basel III Endgame, which require more granular risk assessments and frequent intraday recalculations.

The technology enables financial institutions to run risk models across millions of scenarios with fewer computational resources, reducing both the physical infrastructure and energy requirements typically associated with such processes. This is especially valuable during periods of market volatility, allowing firms to quickly adjust to changing conditions without sacrificing accuracy or transparency.

By streamlining risk calculations and enhancing the ability to model complex derivatives, the XVA Accelerator empowers financial institutions to better manage risk, optimise trading strategies, and reduce operational costs. As part of Nasdaq’s broader Calypso platform, it reflects the company’s commitment to advancing industry-wide modernisation and operational efficiency across global financial markets.

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: How to move to a modern, component based trading architecture using a Buy AND Build approach

To remain competitive in today’s electronic markets, firms need trading architectures that support rapid innovation, effortless integration of new capabilities, and the agility to respond to shifting market demands. This is prompting technology leaders to move beyond the traditional “Buy vs. Build” debate, a false dichotomy that oversimplifies the choice between generic, off-the-shelf platforms and...

BLOG

Bloomberg Enhances RMS Enterprise to Unlock Proprietary Models and Strengthen Research Oversight

Bloomberg has announced significant enhancements to its enterprise-level Research Management Solution (RMS Enterprise), introducing two new capabilities: Custom Fundamentals and Digest Alerts. The updates are designed to address long-standing data interoperability challenges within investment firms, allowing research teams to better integrate proprietary financial models into their workflows and strengthen oversight across their organisations. For many...

EVENT

AI in Capital Markets Summit London

Now in its 3rd year, the AI in Capital Markets Summit returns with a focus on the practicalities of onboarding AI enterprise wide for business value creation. Whilst AI offers huge potential to revolutionise capital markets operations many are struggling to move beyond pilot phase to generate substantial value from AI.

GUIDE

AI in Capital Markets Handbook 2026

AI adoption in capital markets has moved into a more disciplined phase. The priority is now controlled deployment: where AI can be used safely, where it can deliver measurable value, and how outputs can be governed, monitored and evidenced. The 2026 edition of the AI in Capital Markets Handbook examines how AI is being applied...