Experts Clash on the Future of Prediction Markets Regulation
The regulatory landscape for prediction markets is currently a battleground of ideas. The core conflict was brought into sharp focus this month with the release of two influential papers. This new dialogue pits a novel regulatory framework against decades of established practice in the sports betting industry, questioning the very foundation of how these controversial exchanges should be overseen.
On one side, Elie Mishory, who has experience at both the prediction market Kalshi and regulatory bodies like the CFTC and SEC, has outlined a new taxonomy for information. On the other, seasoned sports betting executive Jon Russell argues that this is simply reinventing the wheel, ignoring the robust insider trading safeguards and detection systems already perfected in sports wagering. This debate is central to the future of event integrity in these markets.
Mishory's Proposal: A New Framework for Information
Elie Mishory initiated the conversation with his working paper, “Information Asymmetry and Event Integrity in Prediction Markets: A Framework for the CFTC”. He argues that the term “material non-public information” is too broad and that regulators should instead focus on the nature of the information itself. His framework is not about whether information asymmetry exists, but what kind is acceptable and what is abusive.
Mishory suggests breaking down informational advantages into four distinct categories, each requiring a different regulatory approach. This detailed classification aims to create clearer rules for the growing discussion around CFTC prediction markets.
Mishory's Proposed Information Categories
| Information Type | Definition | Proposed Regulatory Action |
|---|---|---|
| Stolen or Unlawful | Non-public information that was stolen or used illegally. | Expressly forbidden. Mishory states allowing this rewards crime and undermines market integrity. |
| Skill-Based | Information gathered through a trader's own legal research, analysis, and synthesis. | Expressly allowed. This rewards a trader's personal effort and skill. |
| Non-Public Third-Party | Information obtained indirectly or through relationships connected to an event. | Allowed, but with market-level disclosures. Exchanges must warn traders that some participants may have this edge. |
| Non-Public Own | Information known directly by a participant in the underlying event. | Generally permitted. Mishory equates this to executives trading their own company's stock, a standard feature of financial markets. |
Crucially, Mishory separates these informational issues from actual event manipulation. He argues that individuals who can directly influence an event, such as players, coaches, or referees, pose a different kind of risk. These actors should face “person-based prohibitions” to prevent them from trading on events they can control, regardless of what they know.
Russell's Rebuttal: Taxonomy Is Not Detection
In response, longtime sports betting executive Jon Russell published a paper titled “From Taxonomy to Detection.” Russell agrees with Mishory's categories but argues that the framework is incomplete. It effectively describes what regulators should look for but provides no guidance on how to find it.
“The taxonomy tells you what you are looking for. It does not tell you how to find it,” Russell asserted. He emphasizes that surveillance systems cannot directly observe if information is non-public; this status must be inferred from market behavior, which is an imperfect process.
Russell points out that information can “seep” into markets from many hidden sources. For example, a game show employee and a third-party phone company employee might both have inside information on elimination results. A detection system only sees unusual trading patterns, making it extremely difficult to connect the trades to their source without a robust investigative infrastructure.
Prediction Markets vs Sports Betting: Reinventing the Wheel?
The core of Russell's argument is that the debate over prediction markets vs sports betting is ignoring history. He contends that the regulated sports betting industry has spent the last 20 years building the exact detection and enforcement infrastructure that prediction markets currently lack. This includes data feeds, alert systems, information-sharing agreements with event owners, and established investigative protocols.
This established system is, in Russell's words, “almost entirely absent from the current prediction market policy debate.” This raises serious questions about the CFTC, which is embarking on a new rulemaking process for prediction markets. With lone sitting commissioner Michael Selig guiding the process and the agency facing staffing shortages, its capacity to properly surveil markets spanning finance, politics, and sports is under scrutiny.
The entire discussion suggests that while prediction markets present themselves as a new financial tool, they may just be repeating the same integrity challenges that sports betting has already spent decades solving. The path forward for prediction markets regulation will depend on whether regulators build from scratch or learn from an adjacent industry's hard-won experience.
