Canada Investment Managers Confident on T+1 Matching

Uncertainty about monitoring and reporting rules, greater confidence behind meeting new matching requirements, and increased automation are at the top of the priority list for Canadian operations chiefs at investment management firms, according to a study by Stratix Consulting and post-trade processing provider Omgeo.
Of the 15 interviews conducted, all with firms with at least CA$10 billion ($9.7 billion) under management, 60 percent of respondents said monitoring and reporting will drive change in their middle- and back-office processes going forward.
Particular concerns are international initiatives regulating electronic trading for over-the-counter (OTC) derivatives, and the forthcoming legal entity identifier (LEI) requirement for derivative instruments, which two-thirds of those surveyed said would require significant improvement in their back offices, even while few respondents reported making those improvements yet because of regulatory uncertainty
Meanwhile, post-trade derivatives matching is becoming both more electronic and more automated in Canada: The number of derivatives locally and centrally matched has doubled, from 10 to 20 percent, since 2010.
On a brighter note, all 15 respondents reported the full ability to comply with the Canadian Securities Administrator's (CSA) new trade date plus one day (T+1) matching requirement, which stipulates that firms match 90 percent of their trades by noon of the following day. Respondents attributed much of that achievement to advancements in straight-through processing (STP).
"Canadian investment managers are confident that if trade settlement in North America moved to T+2 from T+3, in response to Europe adopting a trade settlement standard of two days, that their systems and processes could accommodate T+2 settlement. They did, however, express concerns about delays in receiving trade information from the sell side, and said that they were not receiving adequate information on the cause of these delays that would allow corrective action to be taken," says Bob Smythe, consultant for Stratix Consulting.
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: https://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
BlueMatrix acquires FactSet’s RMS Partners platform
This is the third acquisition BlueMatrix has made this year.
Waters Wavelength Ep. 331: Cresting Wave’s Bill Murphy
Bill Murphy, Blackstone’s former CTO, joins to discuss that much-discussed MIT study on AI projects failing and factors executives should consider as the technology continues to evolves.
FactSet adds MarketAxess CP+ data, LSEG files dismissal, BNY’s new AI lab, and more
The Waters Cooler: Synthetic data for LLM training, Dora confusion, GenAI’s ‘blind spots,’ and our 9/11 remembrance in this week’s news roundup.
Chief investment officers persist with GenAI tools despite ‘blind spots’
Trading heads from JP Morgan, UBS, and M&G Investments explained why their firms were bullish on GenAI, even as “replicability and reproducibility” challenges persist.
Wall Street hesitates on synthetic data as AI push gathers steam
Deutsche Bank and JP Morgan have differing opinions on the use of synthetic data to train LLMs.
A Q&A with H2O’s tech chief on reducing GenAI noise
Timothée Consigny says the key to GenAI experimentation rests in leveraging the expertise of portfolio managers “to curate smaller and more relevant datasets.”
Etrading wins UK bond tape, R3 debuts new lab, TNS buys Radianz, and more
The Waters Cooler: The Swiss release an LLM, overnight trading strays further from reach, and the private markets frenzy continues in this week’s news roundup.
AI fails for many reasons but succeeds for few
Firms hoping to achieve ROI on their AI efforts must focus on data, partnerships, and scale—but a fundamental roadblock remains.