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Ronald Jordan
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In this contributed article from Global Markets Advisory Group, the advisory discusses the importance of data and how organizations should augment existing skill sets and capabilities to add a data-focused perspective to their operating fabric.

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September 1, 2010

BofA Merrill Algo Targets ETFs

By John D'Antona Jr.

Bank of America Merrill Lynch released to clients an exchange-traded-fund algorithm that automatically sources less-liquid ETF shares at the cheapest price for institutional clients. The process had previously been done manually by traders.

Previously used internally by BofA Merrill, the algo--christened ETF-aX--is set up to identify the cheapest combination of ETF, stock and futures contracts for the underlying ETF securities. This helps the firm deliver its clients shares of less-liquid ETFs that might not be found in the cash trading markets.

The algo automatically purchases a combination of ETF shares, stocks and futures contracts and then recombines all the separate securities and delivers a complete ETF share to the client.

According to Charlie Whitlock, a director in execution services at BofA Merrill, liquidity in less popular ETFs is not deep enough to meet client needs. So ETF-aX scours the marketplace to find the cheapest stocks to create the ETF shares.

"The customer sends us an order for the ETF, and that is exactly what they get back," Whitlock said.

BofA Merrill used the algo on its desk before rolling it out to clients, Whitlock said, adding that the ETF algo sources on average 30 percent more liquidity than traditional low-touch products such as an aggressive liquidity-seeking algorithm.

 

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