CME Ups Bid for GFI as Vote Looms
CME Group now offering $5.85 per share for interdealer broker.

The firm has delivered an executed agreement to GFI's special committee, which has been set up to review the various bids, with the revised offer.
The move is in direct response to bids by rival suitor BGC Partners, which submitted a $5.85-per-share all-cash tender offer late last week, contingent on GFI's board acknowledging its bid as a superior proposal. The non-contingent amount was also raised to $5.75.
CME Group itself will not be contributing additional consideration to the offer, but the money will instead come from a forfeiture of the raised amount, up from $5.25 (and later $5.60), by the management consortium, which is giving up approximately $40 million.
The last few days have seen a furious back-and-forth between BGC, CME and GFI, which have been battling for nearly six months over the future of the broker.
At the heart of CME's interest are GFI's two technology businesses, Trayport and Fenics, which handle trading in energy and foreign exchange.
The CME deal would see GFI merged with a subsidiary, with the brokerage arm then being sold to the management consortium as part of a two-step acquisition.
A shareholder vote is being held on January 27, in order to approve or reject the CME Group deal.
GFI was most recently trading at $5.785 per share on Nasdaq (1015 ET). The firm's share price when the deal with CME Group was first proposed, in late July 2014, was $3.11.
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
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.
For AI’s magic hammer, every problem becomes a nail
A survey by Risk.net finds that banks are embracing a twin-track approach to AI in the front office: productivity tools today; transformation tomorrow.
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.
How a Chinese AI firm shook the tech world
DeepSeek’s AI model is the very ethos of doing what you can with what you have.
To unlock $40T private markets, Hamilton Lane embraced automation
In search of greater transparency and higher quality data, asset managers are taking a tech-first approach to resource gathering in an area that has major data problems.