Nasdaq Unveils AI-Powered Risk Calculation Methodology for Faster, Accurate Portfolio Management

Nasdaq (NASDAQ:NDAQ) today announced it has developed an innovative new methodology to conduct investment portfolio risk calculations and produce predictive analytics, based on advanced machine learning capability. The functionality will be integrated into Nasdaq's Calypso platform, which is used by banks, insurers, and other financial institutions globally to access capital markets, process front-to-back office treasury workflows, manage risk, and meet regulatory reporting obligations.

XVA is a family of Value Adjustments made to derivative values to reflect the impact of risk, funding, capital, and other costs associated with trading OTC derivatives. A well-known example is a Credit Valuation Adjustment where changes are made to reflect counterparty credit risk inherent in bilateral transactions. This process has been critical to help banks manage risks since the Global Financial Crisis of 2007-8.

Alongside the development of structured products, financial engineering has led to highly complex derivative pricing models, demanding more sophisticated internal risk modelling alongside greater regulatory oversight. Collectively, this has placed a substantial and costly computational requirement on the industry.

Nasdaq's machine learning technology is combined with a sophisticated form of mathematical modelling that can significantly improve the efficiency of conducting the most complex trading and regulatory risk calculations. It transforms the time taken to price financial instruments across millions of scenarios, processing the most complex products up to 100 times faster whilst maintaining high levels of accuracy. It can also significantly reduce the amount of physical infrastructure required to run those calculations.