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

Asset Control Integrates Matlab with AC Plus Data Management Platform

Subscribe to our newsletter

Asset Control has integrated its AC Plus data management platform with MathWorks’ Matlab financial analytics language to bring data and financial models closer together and deliver more robust calculation and validation of risk factor and valuations data.

The integration recognises the use of Matlab by many Asset Control customers and overcomes the need to move data back and forth between the products. It makes master datasets in AC Plus more accessible to users writing models in Matlab and allows compiled code to run within AC Plus, typically in a production environment. It also supports dynamically executed code called from AC Plus that is typically used for ad hoc work or iterative model development directly on top of the data.

The integration adds Matlab to the R and C++ analytical languages that are already tightly integrated with AC Plus, and supports regulations that require closer integration and coordination between data and models.

Steve Wilcockson, industry manager, financial services at MathWorks, explains: “Regulations such as BCBS 239 and the Fundamental Review of the Trading Book (FRTB), and stress tests required by the US Comprehensive Capital and Analysis Review (CCAR), European Banking Authority and Bank of England, place increasing importance on financial modelling working alongside high quality regulatory data. By integrating Matlab with AC Plus, we can support greater robustness, transparency and confidence in this process.”

Martijn Groot, vice president of product management at Asset Control, notes the logistical benefits of having data in one place, including the ability to manage version control and audits of both data and models, and the data governance gain of maintaining data integrity. He expects asset managers to use the integrated solution for asset valuation, to create fair value and to build proxy models for illiquid assets in a portfolio. Banks are expected to use the solution to price complex derivatives and build statistical models for risk management. Early adopters include two banks that are testing the integration of AC Plus and Matlab in their own environments.

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: Sponsored by FundGuard: NAV Resilience Under DORA, A Year of Lessons Learned

The EU’s Digital Operational Resilience Act (DORA) came into force a year ago, and is reshaping how asset managers, asset owners and fund service providers think about operational risk. While DORA’s focus is squarely on ICT resilience and third-party dependencies, its implications extend deep into core operational processes that are critical to market integrity, investor...

BLOG

Teciem Launches with New Investment Focus on Treasury, Capital Markets, Risk and Regulatory Technology

When Teciem formally launched as a standalone company in early February, it marked the culmination of a process that had been several years in the making. The business, formerly Finastra’s Treasury and Capital Markets (TCM) unit, now operates independently with a singular focus: delivering mission-critical technology for treasury, capital markets, risk management and regulatory compliance....

EVENT

TEST Event page 2

Now in its 15th year the TradingTech Summit London brings together the European trading technology capital markets industry and examines the latest changes and innovations in trading technology and explores how technology is being deployed to create an edge in sell side and buy side capital markets financial institutions.

GUIDE

The Reference Data Utility Handbook

The potential of a reference data utility model has been discussed for many years, and while early implementations failed to gain traction, the model has now come of age as financial institutions look for new data management models that can solve the challenges of operational cost reduction, improved data quality and regulatory compliance. The multi-tenanted...