The Commodity Futures Trading Commission (CFTC) has clarified that prediction market contracts should be regarded as financial derivatives, thus subjecting them to federal regulations, including insider trading laws.
In his inaugural public statement as the enforcement director, David Miller addressed what he termed a prevalent misconception regarding the regulation of these markets.
“There is a misconception in both mainstream and social media that insider trading regulations do not apply to prediction markets,” Miller stated. “This is incorrect.” His remarks come at a time when trading activities surrounding significant geopolitical events are under heightened scrutiny, and prediction markets are garnering increased interest from both investors and companies.
The CFTC maintains that contracts based on events are classified as swaps, placing them under federal regulation instead of state gambling laws.
“We assert that event contracts are not gaming products; they are swaps. Insider trading laws are applicable,” he emphasized.
This classification is pivotal in an ongoing discussion with certain state regulators in the U.S., who contend that prediction markets should fall under their gambling jurisdiction.
Miller also detailed how the agency will implement insider trading regulations within this sector, differentiating between the proper use of information and illicit activities. “We will prosecute only those who provide tips or trade using misappropriated information,” he noted, emphasizing that minor or “trivial” cases would not be pursued.
This position indicates that participants in prediction markets, including brokers and fintech companies, will be required to adhere to the same standards as those in other derivatives markets, particularly concerning the handling of non-public information.
Moreover, Miller hinted at a broader change in the enforcement approach, suggesting that the regulator aims to foster increased collaboration from firms and individuals, potentially offering reduced penalties in specific instances.