ARK Invest, the technology-focused asset management firm, has announced it will incorporate prediction market data from Kalshi into its investment decision-making process. The move represents one of the more prominent examples of prediction market data being applied beyond traditional trading contexts. ARK plans to use the data to assess real-time market expectations and complement its existing research framework. The firm will also apply the data to risk management and hedging strategies.
ARK founder and CEO Cathie Wood described the integration as a logical progression for financial research, stating that bringing prediction markets into institutional workflows represents a natural next step for innovation. The company’s research director, Nick Grous, added that prediction markets offer some of the clearest expressions of risk around key economic and company-specific outcomes. ARK will also analyze performance indicators including trading volume, regulatory approvals, and technological milestones as part of its expanded research approach.
In a post on X, Wood noted that ARK has been collaborating with Kalshi to list markets on topics the firm is actively exploring, including macroeconomic data and scientific milestones. Kalshi CEO Tarek Mansour confirmed that several of these markets are already live on the platform. These include non-farm payroll markets, deficit-to-GDP ratio markets, and business key performance indicators, among others.
Prediction markets emerged as one of the most discussed use cases in crypto during the past year, with monthly trading volume consistently exceeding $10 billion. Institutions have increasingly recognized the value of prediction market data for gauging market sentiment and informing decisions. Both the Federal Reserve and Cornell University have explored the data for research and policy purposes.
Last month, researchers at the US Federal Reserve argued that Kalshi is better positioned than existing tools to measure macroeconomic expectations in real time, and suggested it should be incorporated into the Fed’s decision-making process. The researchers described Kalshi markets as providing a high-frequency, continuously updated benchmark that is valuable to both researchers and policymakers. The endorsement underscores the growing credibility of prediction market platforms within established financial and academic institutions.
Separately, prediction market data from Polymarket has been studied at Cornell University to examine how traders responded to political events in real time. Researchers analyzed reactions to events including the presidential debates between Donald Trump and Joe Biden, as well as the assassination attempt on Trump in 2024. These studies highlight the broader academic interest in using prediction market data as a tool for understanding collective market behavior during significant events.
Originally reported by CoinTelegraph.
