Corporate Actions: Automation webcast
Greater automation continues to be singled out as one of the most important factors for reducing risk of corporate actions processing, something which is now considered a key priority for firms. This is also why corporate actions has remained in the spotlight throughout the financial crisis. Software projects have remained on the agenda, and the market has seen increased collaboration to standardize. The challenge now is to continue to move forward and improve timeliness of corporate actions processing.
* Risk management: Is the risk associated with corporate actions processing recognized at the top level?
* What STP rate should firms be aiming for if 100% STP is unrealistic?
* How could data tagging at the source level affect corporate actions automation?
Speakers:
* Justin Chapman, senior vice president, global head of change management, Northern Trust
* Tom Dalglish, chief information architect, Bank of America Merrill Lynch
* Jane Foo, Data Solutions, Global Business/Product Manager, Bloomberg
* Arno Wilhelm, Head of customer projects and consulting, SIX Telekurs
* Philipp Breitenmoser, Product Manager, SIX Telekurs
* Carla Mangado, Staff Writer, Inside Reference Data (Moderator)
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 Trading Tech
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.
The future of trading takes shape
The future of trading across the capital markets and the drivers likely to shape the ever-evolving industry
On GenAI, Citi moves from firm-wide ban to internal roll-out
The bank adopted three specific inward-facing use cases with a unified framework behind them.
FactSet-LiquidityBook: The buy-side OMS space continues to shrink
Waters Wrap: Anthony spoke with buy-side firms and industry experts to get a feel for how the market is reacting to this latest tie-up.
Examining Cboe’s lawsuit appealing SEC’s OEMS rule rejection
The Chicago-based exchange has sued the regulator in the Seventh Circuit Court of Appeals after the agency blocked a proposed rule that would change how Silexx is classified.
Lucrative market data deal with LSEG fuels Tradeweb’s record quarter
The fixed-income trading venue realized gains from its 2023 deal with the London Stock Exchange Group, amid soaring revenues from market data providers industry-wide.
Is overnight equities trading a fad or the future?
Competition is heating up in US equity markets as more venues look to provide trading from twilight to dawn. But overnight trading has skeptics, and there are technical considerations to address.
We’re running out of datacenters! (But maybe AI can help?)
The IMD Wrap: Datacenter and cloud adoption is being pushed to its limits by AI. Will we simply run out of space and power building AIs before AI figures out how to fix it?
