Advances in financial technology may be useful for improving the regulation of derivatives markets, Commodity Futures Trading Commission (CFTC) chairman J. Christopher Giancarlo said Wednesday.
Speaking at the D.C. Fintech Week Conference at Georgetown University, Giancarlo highlighted distributed ledger technology (DLT) and how it could be leveraged to automate certain regulatory processes in particular, which he described as "quantitative regulation."
This automation, in turn, would allow the regulator to more efficiently oversee markets while reducing costs.
"As we think about the application of [financial] technologies to trading markets, it is no leap of the imagination to consider how automation could help reduce cost and bring efficiencies to trade matching, processing, and clearing and settlement," he said. "Indeed, when paired with systems inspired by DLT that standardize and distribute data to market actors – and even regulators – we begin to see a world where the majority of standard tasks are managed by machines."
Moving the CFTC to such a position would enable it to more quickly analyze data in real-time, which can then make it easier for the regulator to measure the impact of certain rules or actions that are taken.
Rules can then be modified as necessary to ensure an optimal outcome, he added, and cited speed limits as an example, saying speed limits are static.
"The two regulatory objectives you're trying to solve for with a speed limit are safety and the efficient flow of traffic. If you actually had a dynamic speed limit that measured road and weather conditions (imagine a digital display), you might be able to slow the speed limit down if it's raining in order to better satisfy the safety objective or increase the speed limit on a sunny weekday afternoon when traffic is light to achieve a safe, but more efficient, flow of traffic," he explained.
Aaron Stanley contributed reporting.
J. Christopher Giancarlo image via Aaron Stanley for CoinDesk
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