Why Prediction Markets Are So Hard to Regulate: The CFTC vs SEC Debate

Prediction markets are facing a regulatory challenge: existing financial rules cannot easily classify these products. As platforms like Polymarket and Kalshi grow, the CFTC and SEC are debating whether certain contracts should be treated as derivatives, securities-related products, or a new market category.

The core issue is that some event contracts may go beyond simple predictions and become connected to financial value, especially when they involve publicly traded companies.

Why Prediction Markets Challenge Traditional Regulation

Traditional financial markets are generally built around clearly defined assets. Stocks represent ownership in companies, futures contracts are linked to commodities or financial instruments, and options derive value from underlying assets.

Prediction markets work differently. Instead of trading ownership or direct exposure to an asset, users trade contracts based on whether a future event will happen.

For example, a contract may ask whether a specific economic indicator will reach a certain level. The value of that contract depends on the final outcome rather than the price movement of an underlying asset.

This structure creates a regulatory challenge. While prediction markets have similarities with financial derivatives, they also operate around real-world events that do not always belong to traditional financial markets.

The question regulators must answer is whether these contracts are simply tools for forecasting events or whether some of them function like financial products tied to market value.

Why CFTC Has Been the Main Regulator for Event Contracts

The Commodity Futures Trading Commission (CFTC) has traditionally taken the leading role in regulating prediction markets because many event contracts share characteristics with derivatives.

A typical event contract includes a future outcome, a defined settlement condition, and a financial payout. This structure is similar to many products already regulated by the CFTC, including futures and swaps.

For example, a contract based on whether inflation exceeds a certain level is closely connected to economic conditions and can be viewed as a derivative based on a future event.

Under the Commodity Exchange Act, the CFTC has authority over a broad range of derivative products. This explains why many prediction market platforms have operated primarily under a CFTC framework.

Why SEC Has Entered the Prediction Market Debate

The SEC’s involvement comes from a different perspective: whether certain prediction contracts are closely connected to securities.

Under the 2010 Dodd-Frank Act, the SEC received authority over security-based swaps, which are derivatives linked to securities such as individual stocks or events directly affecting a company’s financial condition.

This creates uncertainty when prediction markets involve publicly traded companies.

For example, a contract asking whether a pharmaceutical company will receive regulatory approval for a major drug may appear to be an event prediction. However, the outcome could significantly affect the company’s revenue expectations, valuation, and stock price.

The question is whether such a contract remains a general event contract or becomes a financial product linked to securities performance.

The Hardest Question: When Does an Event Contract Become a Security Product?

The biggest regulatory challenge is defining the connection between an event and financial value.

Some cases are relatively straightforward. A contract related to a company’s bankruptcy or financial default clearly involves the company’s financial condition.

However, many situations are less obvious.

Consider a contract predicting whether a technology company will achieve a major product milestone within a year. The event itself is not a stock price prediction, but investors may interpret the outcome as a signal of future growth.

Similarly, a contract about whether a company will expand into a new market could influence expectations about future earnings, even though it does not directly measure financial performance.

These examples show why prediction markets create regulatory uncertainty. The challenge is not identifying the event, but determining how strongly that event is connected to securities value.

CFTC vs SEC: Different Regulatory Priorities

The disagreement between the CFTC and SEC is largely based on their different regulatory responsibilities.

The CFTC focuses on derivatives markets, including market integrity, trading practices, and risk management. The SEC focuses on securities markets, investor protection, and transparency.

For prediction markets, both perspectives can apply at the same time.

A contract may have the structure of a derivative because it depends on a future event, while also creating exposure to a company’s financial performance. This overlap makes it difficult to establish a single regulatory approach.

Without clear definitions, platforms may face uncertainty about which rules apply and how new products should be designed.

How Regulation Could Shape the Future of Prediction Markets

Future regulatory decisions will likely determine how prediction markets develop in the United States.

A clearer framework could help platforms understand which types of contracts are acceptable and allow users to better evaluate the risks involved. It could also improve market transparency by establishing clearer standards for contract design, settlement procedures, and user protection.

However, overlapping regulatory requirements could create additional compliance challenges. If platforms must satisfy different standards from multiple agencies, operating costs may increase and innovation could slow.

The long-term development of prediction markets will depend on whether regulators can create rules that protect users while still allowing new financial products to develop.

Why Prediction Market Regulation Matters

Regulation is important because prediction markets are becoming more influential as sources of information.

Market prices in these platforms are often interpreted as signals of how participants view future events. However, without clear oversight, concerns such as market manipulation, unfair information advantages, and unclear contract structures may become more significant.

Effective regulation does not necessarily mean limiting prediction markets. Instead, it means creating a framework where participants understand what they are trading and platforms operate under consistent standards.

Conclusion: Clear Definitions Will Decide the Future of Prediction Markets

Prediction markets are difficult to regulate because they sit between multiple financial categories. They combine elements of derivatives, forecasting tools, and event-based trading, making traditional regulatory boundaries harder to apply.

The CFTC and SEC debate reflects a broader challenge facing financial regulators: how to oversee innovative products that do not fit existing frameworks.

As prediction markets continue to grow, the industry’s future will depend on whether regulators can establish clear definitions and responsibilities. A balanced approach could allow prediction markets to develop while maintaining investor protection and market integrity.