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

A-Team Insight Blogs

SunGard’s Adaptiv Analytics Increases Speed Sixfold to Support Latest Industry Risk Requirements

Subscribe to our newsletter

SunGard has released a new version of its risk analytics engine, Adaptiv Analytics, that provides improved performance to help customers manage developments in Credit Value Adjustment (CVA) and around regulations such as Basel III capital requirements.

Adaptiv helps customers accurately calculate the cost of credit so that traders can correctly price new business while maximising opportunities. It helps customers quickly and efficiently handle computationally-intensive calculations for active CVA management and new regulatory stress test requirements. As credit risk management increases in priority to senior management, Adaptiv also helps increase the transparency of counterparty credit risk.

Tests demonstrate that Adaptiv Analytics now performs over 6 times faster than previous releases for a benchmark portfolio. This increase in performance means that a calculation will run in the same time with only 16% of the hardware required previously, helping reduce hardware costs associated with expensive simulation calculations. Adaptiv Analytics’ fast and accurate calculations help give customers a more precise reflection and allocation of their credit risk.

Mat Newman, head of product management for Adaptiv in SunGard’s position, risk and operations business, said, “Adaptiv Analytics helps customers manage the increased volumes and complexity of calculations that are now required to perform pricing and risk management, such as CVA, incremental risk charge and potential future exposure calculations. This innovation is part of our ongoing program of technology optimization.”

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: GenAI and LLM case studies for Surveillance, Screening and Scanning

As Generative AI (GenAI) and Large Language Models (LLMs) move from pilot to production, compliance, surveillance, and screening functions are seeing tangible results – and new risks. From trade surveillance to adverse media screening to policy and regulatory scanning, GenAI and LLMs promise to tackle complexity and volume at a scale never seen before. But...

BLOG

World Federation of Exchanges Urges Regulators to Balance Quantum Risk with Near-Term Cyber and AI Threats

The World Federation of Exchanges (WFE) has called on regulators to balance long-term quantum computing risks against more immediate operational challenges in the financial sector. The association’s press release highlights a substantial gap between regulatory expectations for early preparation and the industry’s current prioritisation of nearer-term threats such as generative artificial intelligence (GenAI) and cyber...

EVENT

RegTech Summit New York

Now in its 9th year, the RegTech Summit in New York will bring together the RegTech ecosystem to explore how the North American capital markets financial industry can leverage technology to drive innovation, cut costs and support regulatory change.

GUIDE

Regulatory Data Handbook – Fifth Edition

In response to the popularity of the A-Team Regulatory Data Handbook, we have published a fifth edition outlining the essentials of regulations that are likely to have an impact on data and data management at your organisation. New to this edition is a section on RegTech, covering drivers behind the development of innovative regulatory technology,...