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: Trade the Middle East & North Africa: Connectivity, Data Systems & Processes

In Partnership With As key states across the region seek alternatives to the fossil fuel industries that have driven their economies for decades, pioneering financial centres are emerging in Egypt, United Arab Emirates (UAE), Saudi Arabia and beyond. Exchanges and market intermediaries trading in these centres are adopting cutting-edge technologies to cater to the growing...

BLOG

QuantCube Tackles ESG with Macroeconomic Data

Macroeconomic research specialist QuantCube Technology is targeting environmental, social, and governance (ESG) compliance with a new asset-mapping database aimed at helping financial institutions monitor the risk exposure of their physical assets. The tool focuses on the data gap faced by banks, insurance companies, asset managers, and corporates in assessing (ESG) risks at a granular level,...

EVENT

Data Management Summit London

Now in its 15th year, the Data Management Summit (DMS) in London brings together the European capital markets enterprise data management community, to explore how data strategy is evolving to drive business outcomes and speed to market in changing times.

GUIDE

Institutional Digital Assets Handbook 2024

Despite the setback of the FTX collapse, institutional interest in digital assets has grown markedly in the past 12 months, with firms of all sizes now acknowledging participation in some form. While as recently as a year ago, institutional trading firms were taking a cautious stance toward their use, the acceptance of tokenisation, stablecoins, and...