The Crédit Agricole Group is the world’s number 13 bank measured by Tier One Capital and, as the No. 1 retail bank in France, is the leading financial partner of the French economy. CACIB is therefore uniquely placed in the market, having strong connections into local markets across Europe and emerging markets globally.
Quod Financial recently published a Whitepaper exploring the growing interest in AI and Machine Learning for use in trading and execution purposes across the Capital Markets. One specific area that was examined focused on the reasons why the Execution Management System was a particularly good candidate for deploying AI and ML. In this article we publish an extract from the Whitepaper looking at the potential applications of these new technologies for optimising algo trading parameters in the EMS space.
Oxford university’s Saïd business school is launching a course in algorithmic trading, The Oxford Algorithmic Trading Programme is delivered in collaboration with GetSmarter and is led by a powerful team of global experts who share their knowledge in the form of industry insights, videos and discussions.
As firms increasingly access electronic execution for FX, the right decisions for deploying and selecting algorithms are, as Anna Reitman discovers, a combination of getting knowledgeable about market technologies and tapping into the lessons of traditional wisdom.
While many firms tend to pick a strategy or two and stick with that, Pecora Capital LLC prefers to mix things up. The Swiss-based macro investment management firm uses a variety of algo-based systems to navigate the world’s FX markets. What’s more, Managing Director Aaron L. Smith and Head of Trading William Adams see no reason why man and machine can’t work together. Smith calls the approach ‘managed systematic’.
With Mark Goodman, Global Head of Electronic Execution (FX, Rates, Credit, Futures) at UBS Investment Bank, Scott Wacker, Global Head of e-commerce Sales and Marketing at JP Morgan, David Mechner, CEO, Pragma Securities, Nickolas Congdon, Head of E-Trading Services at Commerzbank and Fergal Walsh, Managing Director, Global Head of FX Algorithmic Execution at Citi.
Both equities and FX are continuous two-sided quote-driven markets, which creates fundamental similarities. Equity and FX algos therefore offer many of the same fundamental benefits.
Paul Aston looks at how when seeking liquidity around the WM/Reuters 4PM London Fix, currency algorithms can help. Investors can take better control of their trading, reduce costs, obtain market transparency and ensure best execution.
The traditional build-versus-buy question has become more complicated with the emergence of a variety of off-the-shelf components that make it easier and more cost-effective for either buy-side or smaller sell-side market participants to create their own FX execution solutions.
Asset management companies don’t get much bigger than Vanguard. The group, which recently turned 40, has about 280 funds around the world, with some $3 trillion in assets under management as of end-2014. That kind of size involves dealing with massive foreign exchange exposures, a task so big that Vanguard created a global team to handle FX trading.
