The leading knowledge platform for the financial technology industry
The leading knowledge platform for the financial technology industry

A-Team Insight Blogs

Asset Control Integrates Matlab with AC Plus Data Management Platform

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.

Related content

WEBINAR

Recorded Webinar: Improving data integrity to address regulatory requirements

Financial institutions today face a global regulatory landscape characterised by rigorous and varied reporting requirements across their businesses. Reporting challenges include completing more data fields across more lines of business with greater frequency, adding complexity and cost. At the same time, there is waning tolerance among supervisory bodies for errors, issues or delays – as...

BLOG

Reformis Adds Matrix IDM and NeoXam to Vendor Partner Programme

Reformis, a buy-side business transformation consultancy, continues to build out its vendor partnership programme with the addition of Matrix IDM’s cloud native data management software, and NeoXam’s Impress reporting solution. These join the company’s list of existing partners and products including IHS Markit’s EDM software, Snowflake’s cloud data platform, and Compliance Solution Strategies’ Accudelta product....

EVENT

TradingTech Summit London

TradingTech Summit London will explore how trading firms are innovating in today’s cloud and digital based environment to create flexible, scalable trading platforms to support speed to market and business agility. Leveraging the cloud, AI and ML technologies to get an edge, automate processes and simplify operations in a cost effective way is the name of the game and will share practical insight from practitioners and technology leaders who are innovating and driving forward change in trading operations.

GUIDE

Entity Data Management Handbook – Seventh Edition

Sourcing entity data and ensuring efficient and effective entity data management is a challenge for many financial institutions as volumes of data rise, more regulations require entity data in reporting, and the fight again financial crime is escalated by bad actors using increasingly sophisticated techniques to attack processes and systems. That said, based on best...