How Did a Prediction Market Insure a Furniture Promotion?

Prediction markets are usually discussed as another place to profit from an election, economic release, or sporting event. Jim “Mattress Mack” McIngvale’s story shows another use: a sports contract can offset a risk created by an ordinary business.

McIngvale’s furniture chain promised to refund customers if the Houston Astros won the World Series. The better the team performed, the larger the store’s potential liability became. To avoid keeping all of that risk, McIngvale bought Astros championship contracts through Kalshi.

He placed $516,000 at 24/1, with a potential payout of about $13 million. If the Astros won, the contracts would offset a substantial part of the refunds. If they lost, no refunds would be due and the hedge would become a marketing expense.

Economically, this was no longer simply a bet for profit. The sporting result was tied to a real company liability, and the market position reduced the consequences of one possible outcome.

Why a furniture seller needed an Astros position

McIngvale owns the Texas-based Gallery Furniture chain and has long run promotions linked to local sports teams. Under the current offer, customers spending at least $4,000 would get their money back if the Astros won the World Series.

The Astros position offset part of that risk:

• if the team did not win, Gallery Furniture kept the sales revenue and lost the cost of the position;
• if the Astros won, the store refunded customers while the contract payout covered much of the expense.

McIngvale said the promotion had already created about $4 million in potential liabilities when the trade was placed. If the Astros continued to advance, that figure could approach $12 million, roughly the same range as the potential Kalshi payout.

Calling the transaction only a large bet therefore misses its purpose. For McIngvale, it transferred part of an existing commercial risk to the market.

More about the promotion and McIngvale’s position

Why attractive odds are not enough for a hedge

At a sportsbook, one operator sets both the odds and the maximum stake it is prepared to accept. If the required amount exceeds that limit, a better number on the screen does not solve the problem. A customer may negotiate a larger bet, split it between books, or wait for limits to change, but may not keep one price across the entire amount.

An exchange has no single bookmaker limit. Instead, executable size depends on how many contracts other participants offer at each price.

Both models restrict execution, but in different ways. A sportsbook shows a maximum stake; an exchange reveals the constraint through order-book depth. For a hedge, this matters because a partially filled position leaves part of the business risk uncovered.

Why the displayed price may not be executable

The price on screen applies only to the volume available at that level. If there are not enough contracts, a large order consumes progressively worse offers and its average execution price deteriorates.

Suppose the best quote is equivalent to 24/1, but only $20,000 is available there. Further offers correspond to 22/1, 20/1, and 18/1. A user may initially see 24/1, but cannot place the entire $500,000 at that price.

The difference between the first visible price and the average price of the completed position is slippage. A limit order can avoid paying worse prices, but there is no guarantee that enough sellers will appear in time. A commercial hedge therefore has three requirements: price, size, and the time needed to assemble the position.

What Kalshi did

McIngvale said Kalshi connected him with market makers: professional participants willing to quote both sides of a market and take the opposite side at an acceptable price.

The process can be described as:

large buyer → desired price and size → venue → market makers → execution

Functionally, this resembles a request for quote (RFQ): the client specifies the required size and liquidity providers state the price at which they will take the other side.

Calling the trade off-exchange or OTC would be inaccurate without more information. Kalshi is an exchange, and public accounts describe market-maker involvement without revealing the complete legal and technical execution path. The important point is that the required liquidity did not simply sit in the regular interface: the platform actively helped locate counterparties for a large position.

Where the difference between 18/1 and 24/1 came from

McIngvale said sportsbooks offered about 18/1 after the Astros reached the playoffs, while Kalshi market makers gave him 24/1. At this size, the difference is material: better odds either reduce the cost of a target hedge or produce a larger potential payout for the same capital.

Kalshi attributed the advantage to competition between exchange participants. A bookmaker sets its own odds, limit, and retained risk; several market makers can compete for a large exchange order.

One example does not prove that a prediction market will always beat a sportsbook. The result depends on the event, timing, available participants, and their willingness to accept that specific risk. On another market, a bookmaker may offer deeper liquidity or a better price.

When a sports contract stops being just a bet

Kalshi describes its products as regulated event contracts that may be used not only to speculate but also to hedge risks existing outside the platform. Gallery Furniture fits that argument: the commercial exposure came from a promise to refund customers, not from trading on Kalshi.

This is not a rationale invented after the current trade. Earlier materials submitted to the CFTC cited a previous McIngvale promotion as an example of hedging marketing risk. In 2022, potential customer refunds were estimated at about $50 million, while Astros bets partially insured that liability.

Marketing-risk hedging example in CFTC materials

A commercial purpose does not settle every legal debate or turn an event contract into conventional insurance. But its economic function here is clear: McIngvale was reducing a risk already created by the promotion rather than creating a new risk solely for a possible win.

The same contract can therefore serve different purposes. For someone with no related liability, it remains a speculative position. For Gallery Furniture, the result determines real customer payments, making the position a hedge.

What the case says about liquidity

Headline trading volume does not show how much one customer can execute at a chosen price. McIngvale’s transaction demonstrates another layer of liquidity: organised execution of a large request. The platform knew the required size, found market makers, and helped form a price.

That does not mean hundreds of thousands of dollars are continuously available in every public sports order book, nor do we know whether a smaller client would receive comparable assistance. It does show how a prediction market can serve large participants: collect a request for a specific size, bring in professional liquidity providers, and compete with sportsbooks on execution quality as well as interface.

That is what makes the case significant. The prediction market was used not merely to trade an opinion about the Astros, but as infrastructure for transferring a real commercial risk.