Prediction Markets · Hedging Part 10 · Everyone

Hedging the uninsurable

Insurance only exists for risks an actuary can price. A prediction market can hedge the ones they can't — an election, a ruling, a war, a launch slipping.


The last piece in this series made the case that an event contract is a derivative: a financial instrument whose value is settled by a real-world outcome, fully collateralized, paying out 100¢ on YES or nothing.1 Derivatives have a day job older than any casino. Long before anyone traded them for sport, farmers and millers used them to sleep at night — to lock in a price now so a bad harvest couldn't ruin them later. That job is called hedging, and it's the difference between a bet and an instrument.

Here's the part most people miss. Insurance — the thing we usually reach for when we want to be made whole after something goes wrong — only works for a narrow slice of the risks that actually keep people up at night. A prediction market reaches a much wider slice. To see why, start with what an insurer can and cannot sell you.

An insurer needs a history. A market only needs two people who disagree.

What an actuary can price

An insurance premium is not a guess. It's a number an actuary computes from a mountain of past events: car crashes, house fires, mortality tables stretching back a century. With enough independent, repeatable incidents, the law of large numbers does the heavy lifting — the insurer can't predict your crash, but across a million drivers the rate is steady enough to price, pool, and profit on. That is the entire machine. No history, no pool, no premium.

So the machine breaks the moment a risk is one of a kind. What's the actuarial base rate for this election going a particular way? For this court striking down this rule? For a specific war breaking out this year, a specific supplier failing, your specific product launch slipping two quarters? These aren't rare in the insurable sense — a million independent draws from a stable urn. They're singular. There is no urn. An actuary has nothing to count, so there is no premium to quote. The risk is real, expensive, and uninsurable.

NO ACTUARIAL HISTORY ACTUARIAL HISTORY CAN AN ACTUARY PRICE IT? IS THERE A TRADABLE MARKET? MARKET NO MARKET EVENT CONTRACTS elections · rulings · wars launches · supplier failure FUTURES & OPTIONS priced AND traded THE UNINSURABLE you carry it bare CLASSIC INSURANCE fire · auto · mortality
A market can reach the top-left — risks with no history to underwrite, but two sides willing to trade.

This is the cell insurance can never reach: real, costly risks with no usable history. A market reaches it anyway, because a market doesn't need a history. It needs two people who disagree about an outcome and are willing to put money on it. There's no insurer for "Candidate X wins" — but there can absolutely be a contract.

The same instrument, opposite intent

So suppose the contract exists. How does buying it actually protect you? This is where the word hedge has to be earned, because the contract a speculator buys for profit is the very same contract you buy for protection. Nothing about the instrument changes. What changes is whether you were already carrying the risk before you bought it.2

Take a concrete case. You run a company whose economics get materially worse if a particular regulation passes — say it would force you to retire a product line and eat the cost. You can't insure that; no actuary has a base rate for this rule, this year, this committee. But there's a market on whether it passes, with a contract that pays 100¢ if it does. So you buy the YES contract. Now play it forward:

  • The regulation passes. Your business takes the hit you feared — but every contract you hold pays out, and that payout is sized to land right on top of the loss. You're made roughly whole.
  • The regulation fails. Your contracts expire worthless — you're out what you paid for them — but the thing you were afraid of never happened, so the business is fine. The premium was the cost of sleeping at night.

Look at what just happened. Whichever way the world breaks, your net outcome barely moves. You didn't take on a new gamble; you cancelled one you already had. That is the whole definition: a speculator takes risk for the chance of profit; a hedger sheds a risk already on the books. Same ticket, opposite purpose. The only honest way to tell them apart is to ask what the buyer's life looked like before the trade.

P&L = 0 EXPOSURE HEDGE NET — EXPOSURE + HEDGE + GAIN − LOSS EVENT DOESN'T HAPPEN EVENT HAPPENS → THE FEARED OUTCOME BECOMES MORE LIKELY
The hedge cancels the exposure — the two sloped lines sum to a flat net. Illustrative.

That flat NET line is the entire point of a hedge. The business is no longer holding a directional view on the regulation; it's neutral, free to get back to the work it's actually good at. You can write the idea in one line — your net payoff is the exposure plus the position you bought against it:

$$ \text{Net} \;=\; \underbrace{E(\omega)}_{\text{exposure}} \;+\; \underbrace{q\,\big(\mathbf{1}[\omega] - p\big)}_{\text{hedge}} $$

Here \(\omega\) is whether the event happens, \(E(\omega)\) is what it does to your business, \(p\) is the price you paid as a probability, and \(q\) is how many contracts you hold. Choose \(q\) so the hedge's slope offsets the exposure's slope, and the two move in opposite directions by the same amount — \(\text{Net}\) goes flat. That's not a trick of this market; it's the same arithmetic a wheat farmer has used for a hundred years, pointed at a risk no insurer would touch.

Why the institutions actually care

This is the unglamorous reason serious money pays attention — not the thrill, the risk transfer. A treasurer who can offset a political or regulatory exposure has a tool that simply didn't exist before. And the most valuable part isn't even the payout; it's the price. A liquid market on "this rule passes" prints a live, money-backed probability of exactly the kind of event a risk desk has always had to guess at.3

That's the cleanest read on the deals you've seen this year. When Intercontinental Exchange — the owner of the New York Stock Exchange — committed up to 2 billion dollars to Polymarket in October, the structure was a data-distribution arrangement: ICE becoming the distributor of the platform's event-market data.4 An exchange operator does not pay that for casino entertainment. It pays it for a new, real-time feed of prices on risks the rest of the financial system has never been able to mark. The hedge is the use case; the data is the asset.

Where the hedge gets imperfect

Now the honest part, because a hedge that's oversold is just a worse bet. Three limits keep this from being a magic wand, and any treasurer who's tried it has hit all three.

The first is liquidity. You can only hedge as much as the market can absorb. Push a large exposure through a thin order book and your own buying walks the price up — you end up paying far more than the fair odds, and past a point the depth simply isn't there. The category has grown enormously — combined monthly volume climbed past 13 billion dollars by the end of 2025, from under 100 million a month two years earlier — but that depth is concentrated in a handful of marquee markets.5 The specific, idiosyncratic risk you most want to hedge is often the one with the thinnest book.

The second is basis risk, and it's the subtle one. Your hedge pays off on the contract's exact wording, not on your actual loss — and the two rarely line up perfectly. The market resolves on "Rule §12 is struck down by December 31"; your business is hurt by a softer version that guts the rule without formally striking it, or by a delay that lands in January. The event you feared basically happened, your contract pays nothing, and the gap between "what hurt me" and "what the contract settles on" is the basis. The narrower you can write the contract to your real exposure, the smaller it gets — but a residual almost always remains.6

The honest version

A prediction-market hedge is real, not perfect. Liquidity caps how much you can put on; a thin market can't absorb a large exposure without moving against you; and basis risk means the contract may not exactly match the loss you're trying to cover. It shrinks a risk you couldn't touch before — it doesn't erase it.

The third is the quietest: a hedge has a cost, and that cost is the price itself. Pay 30¢ to insure against a 30% risk and, over many such years, you roughly break even before fees — exactly as you'd expect from a fair market. The hedge doesn't make the risk free; it converts a lumpy, catastrophic maybe into a smooth, survivable premium. For most of the singular risks in that top-left cell, that trade — turning a company-ending shock into a line item — is worth making.

So the line between a bet and a hedge was never about the instrument. It's about what you were already carrying. The speculator shows up empty-handed and takes on risk for the chance of a payout. The hedger shows up already exposed and pays to put it down. Insurance can only meet you for the risks an actuary has seen a thousand times before. A market will meet you for the ones no one has ever seen at all — the election, the ruling, the war, the launch that slips. That reach is exactly why this is an asset class, and not a game.

Notes
  1. The derivative framing — binary payoff, full collateral, settlement on a real-world outcome — is developed in the previous part of this series, Event contracts are derivatives.
  2. Hedging vs. speculation is a distinction of intent and prior exposure, not of instrument: the same contract sheds risk for a party already carrying it and adds risk for one who isn't. The classic treatment of markets as machines for transferring risk to those most willing to bear it is Kenneth Arrow's work on risk-bearing and complete markets (Arrow, "The Role of Securities in the Optimal Allocation of Risk-bearing," 1964).
  3. On prediction markets as a mechanism for transferring and pricing one-off, un-underwritable risks — and for informing real decisions — see Justin Wolfers & Eric Zitzewitz, "Prediction Markets" (Journal of Economic Perspectives, 2004); and the decision-markets literature, e.g. Robin Hanson on decision markets and Kenneth Arrow et al., "The Promise of Prediction Markets" (Science, 2008).
  4. Intercontinental Exchange (owner of the NYSE) announced an investment of up to 2 billion dollars in Polymarket in October 2025, structured around distribution of Polymarket's event-market data — risk pricing, not gambling.
  5. Combined monthly prediction-market volume grew from under 100 million dollars a month in early 2024 to past 13 billion dollars a month by the end of 2025 (Pew; The Block). Depth, however, remains concentrated in the largest markets — which bounds how much idiosyncratic risk any one contract can absorb.
  6. Basis risk — the residual mismatch between a hedge instrument and the underlying exposure — is a standard concept in derivatives risk management; here it shows up as the gap between a contract's precise resolution wording and the buyer's actual real-world loss.
SL
Seeker Labs
The research desk at Seeker — theses, trends, and where we see the next bets across markets, AI, and the technologies in between. By Viet Ho (Managing Partner) & John Nguyen (Research Partner).
hi@vietho.me · @congviet