S&P Dow Jones Indices partners with Kalshi to build prediction market indices

The company behind the S&P 500 is getting into the forecasting business. S&P Dow Jones Indices and Kalshi have agreed to build indices that track real-world events and risks.

Under the partnership, announced October 26, 2026, Kalshi becomes the preferred prediction market platform for event contracts tied to S&P DJI benchmarks.

What the deal actually does

The arrangement runs in two directions, and each side gets something the other has.

First, Kalshi will use official S&P DJI index values to settle its upcoming event contracts. Those values include benchmarks such as the S&P 500.

Second, S&P DJI becomes the preferred index constructor using Kalshi data. It will be able to build new indices that draw on the prices traders set in Kalshi’s markets.

Those indices could span economics, politics and sports. Put simply, the crowd’s collective guess about future events could be packaged into a benchmark, the same way stock prices get packaged into the S&P 500.

The research describes this as part of a push to bring institutional-grade standards into prediction markets.

The fine print, or lack of it

Neither company disclosed financial terms. No firm timeline for new products has been specified either.

There is a potential rollout for financial contracts by year-end 2026. That is a possibility, not a promise, and anyone planning around it should treat it as such.

Kalshi CEO Tarek Mansour emphasized that the collaboration would drive both retail and institutional interest in prediction markets.

The novel indices themselves are also framed as a maybe. The collaboration may result in event-based benchmarks, according to the research. Until products launch, the concept remains on the whiteboard.

Why Kalshi, and why now

Kalshi was founded in 2018. It operates as the largest US regulated prediction market, supervised by the Commodity Futures Trading Commission.

For S&P DJI, the appeal is data. Prediction markets produce a continuous, real-time signal of what traders collectively expect. An index built on that signal is a new kind of product for a company that has historically measured what already happened in markets.

What this means for traders, funds and the prediction market sector

For traders, contracts that settle against official S&P values remove a layer of ambiguity. If you are wagering on where the S&P 500 lands, knowing the settlement figure comes straight from the index provider is cleaner than relying on a third-party feed.

The research suggests the partnership could open new opportunities for forecasting economic and political events.

For institutions, the bigger idea is a new type of benchmark. If S&P DJI publishes expectations indices derived from Kalshi data, funds could eventually measure performance against them or design strategies around shifts in market consensus. The research notes this could create additional benchmarks for fund performance.

Still, several risks deserve attention. An index is only as good as the data underneath it. If a particular Kalshi market is thinly traded, a benchmark built on it could reflect the views of a small group rather than a genuine consensus.

Sports and political indices also raise practical questions. It is not yet clear who would use them, how they would be packaged, or whether regulators would welcome products built on top of them. None of those details have been disclosed.

The key signals to track are straightforward. Watch for the first contracts that settle against S&P DJI values, any announcement of specific expectations indices, and whether the potential year-end 2026 rollout of financial contracts materializes.