2nd December 2014

B&Z Global Strategies Collaborates with MDX Technology

B&Z Global Strategies Collaborates with MDX Technology

Implements internal data sharing solution for its multi-market, multi-strategy investment fund

MDX Technology (MDXT), the market data connectivity specialist, today announced that B&Z Global Strategies, a multi-market, multi-strategy investment fund based in Rio de Janeiro, Brazil, has selected its internal data sharing solution, MDXT Collaborate.

Since the fund focuses on absolute return and risk mitigation, it aims for maximum diversification by combining several quantitative strategies to a global portfolio of assets. Using MDXT Collaborate, B&Z Global Strategies’ investment managers can now share their quantitative, systematic and directional strategies as well as risk metrics more effectively. The ability to collaborate internally in real time has led to improvements in workflows and ultimately returns given to investors.

Jose Pradez, Founding Partner, B&Z Global Strategies, said, “Our fund, B&Z Trenttum, trades a portfolio of global assets, including equities, currencies, interest rates and commodities. As part of our promise to ensure risk is managed appropriately for each particular asset as well as the entire portfolio, we needed an internal data sharing solution that would help us collaborate more effectively, and share key price and analytics data in real time. Speed to market in combination with superb performance, high quality service and support requirements led us to choose MDX Technology from a pool of vendors, including Arcontech, Vistasource and others.”

“Latin America is a new market for us, but one that we are embracing as we are actively expanding our footprint through partners and customers such as B&Z Global Strategies,” said Paul Watmough, co-founder and CEO, MDX Technology. We are currently working with a number of funds in this and other regions. Speed to market and ease
of use are crucial to funds in general, which is why our lightweight collaboration tool is often preferred.”

 

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