Broadridge Extends Multi-Asset Processing Support
The vendor's most recent investments include the addition of commodity-based futures and options to the range of exchange-traded and OTC derivatives currently available on its processing solution. The expanded capabilities also include real-time market connectivity to the Intercontinental Exchange (ICE), opening up a pathway to 17 futures and options exchanges, plus connections to a range of central clearing counterparties.
According to Broadridge, the firm's strategy to invest in its unified international processing solution for all major asset groups, including equities, fixed income, money markets and derivatives, comes as capital markets participants seek to streamline their operations across business silos to increase efficiency, enhance risk management, and reduce costs across the enterprise.
Broadridge claims to have recently expanded its global customer base by signing three firms, headquartered in North America, Europe and Asia, that will utilize its multi-asset class processing solution for a range of asset groups, including both securities and derivatives. Each firm will benefit by moving to a more operationally efficient, streamlined processing model, and also by mothballing one or more systems through a move to Broadridge's platform.
Only users who have a paid subscription or are part of a corporate subscription are able to print or copy content.
To access these options, along with all other subscription benefits, please contact info@waterstechnology.com or view our subscription options here: http://subscriptions.waterstechnology.com/subscribe
You are currently unable to print this content. Please contact info@waterstechnology.com to find out more.
You are currently unable to copy this content. Please contact info@waterstechnology.com to find out more.
Copyright Infopro Digital Limited. All rights reserved.
As outlined in our terms and conditions, https://www.infopro-digital.com/terms-and-conditions/subscriptions/ (point 2.4), printing is limited to a single copy.
If you would like to purchase additional rights please email info@waterstechnology.com
Copyright Infopro Digital Limited. All rights reserved.
You may share this content using our article tools. As outlined in our terms and conditions, https://www.infopro-digital.com/terms-and-conditions/subscriptions/ (clause 2.4), an Authorised User may only make one copy of the materials for their own personal use. You must also comply with the restrictions in clause 2.5.
If you would like to purchase additional rights please email info@waterstechnology.com
More on Emerging Technologies
Fitch claims 20% developer productivity boost using AWS GenAI tools
The vendors have expanded an existing deal to include new Amazon tools that have helped Fitch modernize its infrastructure and applications.
Waters Wavelength Ep. 308: Arta Finance’s Caesar Sengupta
Caesar, who previously spent 15 years at Google, joins to discuss Arta’s goal of putting a private banker in everyone’s pockets.
Terry Duffy on CME’s cloud future, takeover targets, and ... candy
CME CEO Terry Duffy explains the relatively narrow strategy that the derivatives exchange has taken under his leadership, especially compared to its peers.
Waters Wavelength Ep. 307: The shrinking OMS landscape
This week, Tony and Nyela discuss FactSet’s recent acquisition of LiquidityBook and what it could signal for trading technology.
Banks urged to track vendor AI use, before it’s too late
Veteran third-party risk manager says contract terms and exit plans are crucial safeguards.
Market data woes, new and improved partnerships, acquisitions, and more
The Waters Cooler: BNY and OpenAI hold hands, FactSet partners with Interop.io, and trading technology gets more complicated in this week’s news round-up.
Waters Wavelength Ep. 306: Reykjavik and market data
Reb is back on the podcast to talk about her trip to Reykjavik, as well as two market data reports released this month.
BlackRock tests ‘quantum cognition’ AI for high-yield bond picks
The proof of concept uses the Qognitive machine learning model to find liquid substitutes for hard-to-trade securities.