ARK Invest and Kalshi are teaming up to embed prediction markets into institutional investment workflows, aiming to inform research, portfolio strategy, and risk management.

ARK founder and CEO Cathie Wood argues that prediction markets quantify uncertainty and can sharpen research and decision-making.

The collaboration positions Kalshi as a major provider of market-based risk insights for investment decision-making, reflecting a broader institutional shift toward these tools.

Industry observers see value in prediction markets for hedging and event-driven trading among asset managers and hedge funds, signaling growing institutional demand beyond sports betting.

The partnership rests on three pillars: event-specific risk management, forward-looking data tied to business outcomes, and market-based research reflecting real-time performance expectations on indicators like production, deliveries, regulatory milestones, and technological progress.

Kalshi recently raised over a billion dollars in a funding round that valued the company at about $22 billion, underscoring rising activity in the prediction-market space.

The arrangement broadens Kalshi’s reach into institutional investors, complementing existing partnerships with Tradeweb Markets and DriveWealth to offer non-sports, event-based contracts beyond traditional wagering.

Prediction markets can hedge exposure to discrete outcomes affecting portfolios as well as broader macro and sector risks.

Financial terms of the collaboration were not disclosed, but ARK participated in Kalshi’s Series E, valuing Kalshi at about $11 billion, a figure that has reportedly doubled since.

ARK will evaluate three use cases: market-based research signals, forward-looking insights into business outcomes, and event-specific risk management.

The partnership reflects a broader industry shift toward using prediction markets as a viable tool in professional investing, moving beyond academic or experimental use.

In finance, three primary use cases include continuously updated market-based research signals, forward-looking KPIs tied to production and milestones, and event-driven risk management for portfolios.