JPMorgan Follows Goldman Sachs, Morgan Stanley in R3 Consortium Exit
JPMorgan becomes the latest bank to withdraw from the R3 blockchain consortium as the industry body seeks to raise $150 million.

Reuters reports that JPMorgan has withdrawn from the consortium led by New-York based R3 CEV, which is currently in the process of a fundraising drive to raise $150 million from its members and strategic investors in return for a 60 percent stake in the business.
In November last year, Goldman Sachs, Morgan Stanley and Santander all left the consortium, as banks seek to streamline the number of blockchain-based ventures they are involved in as interest in the technology cools.
Charley Cooper, a managing director at R3, told Reuters: “JPMorgan parted ways with R3 to pursue a very distinct technology path, which is at odds with the one chosen by the global financial services industry, represented by our 80-plus members.”
The popularity of blockchain or distributed-ledger technology (DLT) vehicles, such as consortiums like R3, exploded last year as vendors and institutions sought to gain an advantage over their peers through various development efforts. However, as progress has slowed, banks have become more reluctant to continue such hefty investments without seeing tangible results, as most projects are still confined to tests.
While there appears to be no danger of blockchain-related projects dying out any time soon, unless concrete advancement can be demonstrated, it is likely more banking institutions will focus their attention elsewhere, particularly as they must contend with regulations such as Mifid II and FRTB (Fundamental Review of the Trading Book).
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
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.
JP Morgan, Eurex push for DLT-driven collateral management
The high-stakes project could be a litmus test for the use of blockchain technology in the capital markets.