Neptune Adds Nomura, Jefferies to Bond Utility Network
Collaborative network for pre-trade bond indication sharing adds Nomura and Jefferies to liquidity pool.
Nomura and Jefferies join other participating investment banks including Goldman Sachs, Citi, UBS, Deutsche Bank, and Morgan Stanley on the platform, as well as a number of buy-side firms such as Deutsche Asset Management, AXA IM, Henderson Global Investors, Alliance Bernstein, and Aberdeen Asset Management.
Neptune, run by Neptune Networks, operates as a not-for-profit utility network with the goal of establishing a hub for the exchange of pre-trade bond axes and inventories in a standardized, transparent format between the buy and sell side.
"The addition of Nomura and Jefferies to the Neptune network is an important step forward in the development of our open-access, non-discriminatory network that links bond market participants and makes markets more efficient while continuing the theme of aggregating global liquidity onto one platform," said Grant Wilson, CEO of Neptune Networks, in a statement.
Neptune currently counts a total of 17 bond dealers across the network with over 13,500 individual securities, across 20 different denominations. A further four bond dealers are due to join the network before the end of the first quarter of 2017.
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
Asset manager Saratoga uses AI to accelerate Ridgeline rollout
The OMS provider’s AI assistant helps clients summarize research, client interactions, report generation, as well as interact with the Ridgeline platform.
LSEG rolls out AI-driven collaboration tool, preps Excel tie-in
Nej D’Jelal tells WatersTechnology that the rollout took longer than expected, but more is to come in 2025.
The Waters Cooler: ’Tis the Season!
Everyone is burned out and tired and wants to just chillax in the warm watching some Securities and Exchange Commission videos on YouTube. No? Just me?
It’s just semantics: The web standard that could replace the identifiers you love to hate
Data ontologists say that the IRI, a cousin of the humble URL, could put the various wars over identity resolution to bed—for good.
T. Rowe Price’s Tasitsiomi on the pitfalls of data and the allures of AI
The asset manager’s head of AI and investments data science gets candid on the hype around generative AI and data transparency.
As vulnerability patching gets overwhelming, it’s no-code’s time to shine
Waters Wrap: A large US bank is going all in on a no-code provider in an effort to move away from its Java stack. The bank’s CIO tells Anthony they expect more CIOs to follow this dev movement.
J&J debuts AI data contracts management tool
J&J’s new GARD service will use AI to help data pros query data contracts and license agreements.
An AI-first approach to model risk management
Firms must define their AI risk appetite before trying to manage or model it, says Christophe Rougeaux