Could a market that facilitates millions in wagers on how many times Vice President JD Vance claps during a State of the Union address, or whether Elon Musk will finally be unmasked as Satoshi Nakamoto–the elusive, pseudonymous creator of bitcoin–actually provide a serious hedge for global insurers?
Although the insurance industry has always been in the business of calculating the odds, it has long been uneasy with the optics of betting. But as prediction markets like Polymarket and Kalshi seize global headlines with such high-volume wagers, a provocative question is stirring: If these platforms can price the hyper-specific behavior of a politician or the identity of a crypto-founder, could they also provide a new layer of capacity for catastrophic threats and more mundane risks?
The answer appears to be yes.
The transition from a speculative wager to a legitimate layer of insurance or reinsurance protection for large businesses and insurance carriers has entered its preliminary phases, with parametric event contracts like hurricane and seasonal storm prediction contracts available on Polymarket, Kalshi, and Interactive Brokers. Winning trades are triggered by objective data like a hurricane’s wind speed and/or its geographic location.
While this event-contract approach offers speed and transparency, its core challenge lies in reconciling volatile, crowd-sourced sentiment with the disciplined, data-driven rigor of the actuarial profession. Nevertheless, sources interviewed for this article suggest value in heeding the wisdom of the crowd, with several observers maintaining that the financial stakes involved in prediction markets force a level of objective forecasting that traditional underwriters fail to replicate.
“I think a market is possible, but we’re still in the early days,” said Sridhar Manyem, senior director of industry research and analytics at rating agency AM Best. “Increasing capacity is a good thing, so long as there is certainty the product will deliver.”
In prediction markets, the “house sets the odds” model common in gambling is replaced by a peer-to-peer market in which participants trade binary contracts on whether an event occurs. Each contract represents a single outcome, Yes or No, where the trading price reflects the real-time probability of the event.
For example, if a contract for a specific rhetorical trope from President Trump–such as his frequent use of the word “hottest” in a campaign rally–trades at $0.65, the market is signaling a 65% chance of occurrence. Similar to binary options, the contracts pay out a fixed $1.00 if the event happens and drop to zero if it does not, providing a 35-cent profit per share for successful Yes traders.
By using predefined data thresholds to automate payouts, the platforms convert complex risks like earthquakes or tornadoes into simplified, binary formats. Instead of navigating multi-layered insurance terms and conditions, traders use straightforward contracts that settle based on objective third-party data from agencies like NOAA and USGS. This eliminates the need for traditional claims adjustment, allowing for settlement to occur within hours of the data being published.
Trading on the likelihood of future events, speculators effectively create a real-time price for uncertainty. For organizations facing specific exposures–such as a utility company vulnerable to storm damage–the platforms are touted as a practical risk transfer tool. By purchasing Yes contracts on a potential disaster, the utility can create a financial hedge that pays out if the event occurs, helping to further offset its actual losses.
“Prediction markets for natural disaster risk function as a live, flexible complement to traditional insurance by pricing contracts based on the real-time probability of an event of a given magnitude,” said Patrick Brown, climate scientist and head of climate analytics at Interactive Brokers. The trading platform’s subsidiary, ForecastEx, is a U.S.-regulated exchange that began offering Commodity Futures Trading Commission (CFTC)-approved hurricane prediction contracts in 2025.
