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

Markit Boosts Index Business Scalability with XSP CA Platform Upgrade

Subscribe to our newsletter

Markit’s renewal and extension of its corporate actions processing platform deal with XSP will allow it to expand its operations to serve more customers and make more calculations while maintaining accuracy and timeliness.

As part of the renewal, Markit has added XSP’s Headline Indices functionality to the XSP v5 platform it operates in-house. According to Paul Grimes, managing director at Markit, the new functionality will allow the company to manage all corporate actions affecting individual clients’ portfolios of securities, ensuring all dividends information, for example, is properly validated across the multiple data sources it uses.

“XSP enables us to streamline some of our more complex processes and make our operations more scalable,” says Grimes. “The extension of our agreement strengthens our relationship with XSP and provides a basis for future product enhancements.”

Grimes says Markit has used XSP as its corporate actions processing platform for the past four years. Markit uses the platform to process corporate actions data affecting clients’ portfolios. Data is derived from a range of corporate actions suppliers. The XSP system is capable of handling feeds from the likes of Bloomberg, Interactive Data, Thomson Reuters and others.

He says that enhancements made to the platform by XSP made the renewal “a straightforward decision.” Once the new functionality is added, Markit will be able to provide index calculations at the individual portfolio level, applying custom rules to each portfolio’s handling of corporate actions data to ensure accuracy and to provide checks and validations in the event of conflicting data.

The Headline Indices functionality will allow Markit’s core data team in London to prioritise and filter their workload in order to enhance service levels they are able to provide internally to their index management business groups. The downstream benefit to the index management business groups will be the ease with which they will be able to interrogate their own bespoke universe of securities.

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: Hearing from the Experts: AI Governance Best Practices

The rapid spread of artificial intelligence in the financial industry presents data teams with novel challenges. AI’s ability to harvest and utilize vast amounts of data has raised concerns about the privacy and security of sensitive proprietary data and the ethical and legal use of external information. Robust data governance frameworks provide the guardrails needed...

BLOG

Anthropic’s Financial Industry Claude Iteration Aimed at Easing AI Adoption

Large language model (LLM) builder Anthropic may have the solution to assuaging financial institutions’ doubts about generative artificial intelligence deployment in their analytics and decision-making workflows, having created a model that has been designed specifically for the industry. Claude for Financial Services, part of the San Francisco-based company’s Claude for Enterprise suite, comprises capabilities that...

EVENT

TradingTech Summit London

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

Regulatory Data Handbook 2025 – Thirteenth Edition

Welcome to the thirteenth edition of A-Team Group’s Regulatory Data Handbook, a unique and practical guide to capital markets regulation, regulatory change, and the data and data management requirements of compliance across Europe, the UK, US and Asia-Pacific. This year’s edition lands at a moment of accelerating regulatory divergence and intensifying data focused supervision. Inside,...