Brown Brothers Harriman Automates NAV Reviews with Machine Learning
The bank is looking to automation in the middle and back offices as it seeks to exploit emerging technologies.
Brown Brothers Harriman has brought greater efficiency to its net asset value (NAV) review process with supervised machine learning, said Kevin Welch, the firm’s managing director for investor services, who was speaking at this year’s Waters USA event.
Securities pricing is reconciled each day at market close to make sure that the NAV figure is accurate, and the prices are reviewed to discover any significant variation day to day. Welch said the process, when performed with traditional methods
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 Data Management
Suspect in killing of CJC market data engineer captured
Sandra Villena’s alleged killer was arrested after more than three years on the run and will be extradited to Ecuador, where he is charged with femicide.
From latency to flexibility: The evolution of LSEG’s real-time data business
LSEG’s real-time market data business supports the push toward managed, cloud-based solutions, addressing legacy constraints while future proofing data strategies.
Old data practices key to navigating new agentic ambitions
Metadata and data quality are not as sexy as autonomous agents, but data executives across the capital markets warn that they are integral to successful agents.
FactSet’s vectorization service aims to improve agent accuracy
FactSet chief AI officer Kate Stepp discusses the importance of having AI-ready data in the agentic era.
DeFi and TradFi firms are borrowing each other’s benefits
The Waters Wrap: As blockchain tech gains a small foothold in market data, Nyela says the thing separating blockchain’s previous craze and its second wind is choice.
Spoiler alert: managing market data is a bad case for AI
The IMD Wrap: A recent conversation between Max and one of his sources highlights the uses of different mechanisms to manage one of their most expensive assets.
LSEG makes final case for dismissal of MayStreet lawsuit
Lawyers for both LSEG and MayStreet founder Patrick Flannery have argued the lawsuit’s merits through various legal filings for almost a year.
A new market data hope or an expanding Empire
Market data is now part of systemic infrastructure rather than just a commercial product. Tim Versteeg questions if market data is becoming too powerful to fail.
