Regulatory update – 4 October 2026
The regulatory landscape for prediction markets continues to evolve. In the US, recent court decisions have highlighted continuing tension between federal CFTC oversight of event contracts and state gambling laws, particularly in relation to sports markets. In the UK, prediction markets may fall within the Gambling Commission or FCA perimeter depending on the nature of the contracts offered, while in the EU, ESMA has emphasised that individual event contracts may constitute financial instruments and may also engage national gambling laws.
These developments reinforce a central theme of this article: prediction markets do not fit neatly within a single regulatory category. The applicable regime can depend on the type of event being traded, the structure of the contract and the jurisdictions in which customers are located. For insurers, this makes regulatory classification, licensing, market integrity and territorial controls increasingly important underwriting considerations.
What does a cold day have to do with the future of financial risk?
In the US, businesses are beginning to explore prediction markets as a way of hedging real-world exposures such as weather. At the same time, billions of dollars are being traded on event contracts covering everything from elections and interest rates to sport, cryptocurrency and economic data.
Prediction markets are moving quickly beyond their origins. And that raises an interesting question for the insurance industry.
If prediction markets can help businesses manage risk, what role could insurance play in helping prediction markets manage theirs?
A market sitting between established categories
Prediction markets allow participants to trade contracts based on whether a defined future event occurs. Yet their apparent simplicity disguises considerable regulatory complexity.
Depending on the contract and jurisdiction, a prediction market can intersect with derivatives regulation, gambling law, financial services and digital-asset regulation.
The approaches are already diverging.
In the US, the CFTC regulates event contracts that fall within the federal derivatives framework, with regulated operators including Kalshi and Polymarket US. In Britain, the FCA and Gambling Commission have clarified how different financial and non-financial prediction markets may fall within their respective regulatory perimeters. In July 2026, ESMA specifically addressed prediction markets and event contracts in Europe, including their potential treatment as financial instruments and binary options.
For operators serving customers internationally, the question is therefore not simply where the company is incorporated. It is what is being traded, where customers are located and which regulatory perimeter applies.
That uncertainty also matters when buying prediction market insurance.
Insurance needs to follow the risk
Depending on the business model, protection may involve Directors’ & Officers’ Liability, Technology E&O, Cyber, Commercial Crime, regulatory defence and specialist digital-asset insurance.
An insurer considering D&O cover for a prediction market may want evidence that the operator can lawfully serve customers in its principal jurisdictions. Technology E&O insurers need to understand what happens if a market is incorrectly created or settled. Cyber and Crime insurers need to consider platform security, custody and digital assets.
Then there is a risk more particular to prediction markets: who decides what actually happened?
Markets depend upon precisely drafted questions, reliable data and mechanisms, sometimes including blockchain oracles, to determine outcomes. Ambiguous wording, erroneous data, technology failure or a disputed resolution can create financial loss even when the platform itself has operated in good faith.
There is a parallel with parametric insurance.
Parametric insurance uses an objectively defined event to trigger a predetermined financial response. Prediction markets use defined events to determine the settlement of contracts. They are legally and economically distinct products, but increasingly occupy neighbouring territory.
Could insurance ultimately provide an additional layer of resilience around how prediction markets create, determine and settle events?
Prediction market insurance will need to evolve
As prediction markets mature, new forms of risk transfer may also emerge around data integrity, oracle failure, market resolution and settlement.
Prediction markets sit at the intersection of technology, financial services, data, digital assets and regulated activity. Insurance needs to understand that intersection rather than force these businesses into conventional categories.
Elmore works with fintech, digital-asset and emerging-technology businesses to understand new risks and develop appropriate insurance structures with specialist markets.