Key Points
- Prediction markets allow participants to buy and sell contracts tied to the outcomes of future events.
- The signal from prediction markets can help decision-makers incorporate market expectations into processes like financial planning and risk management.
- The usefulness of prediction markets depends on the number of informed participants and should be balanced with other inputs.
The Rise of Prediction Markets
Prediction markets are becoming increasingly popular, with platforms like Kalshi and Polymarket offering a new tool for businesses, investors, and governments to tap into market expectations and make informed decisions.
The signal from prediction markets can help decision-makers incorporate market expectations into processes like financial planning and risk management.
However, the usefulness of prediction markets largely depends on the number of informed participants and should be balanced with other inputs, such as internal forecasts and expert guidance.
At a Glance
| Kalshi | Prediction market platform Winner of landmark legal ruling against the CFTC in May 2025 |
| Polymarket | Prediction market platform Surged in trading volume after Kalshi's legal victory |
| Company using prediction markets Found to provide a 25% reduction in mean squared error compared to internal expert forecasts |
Where the Sides Stand
Regulators
Position: Concerned about the accuracy and reliability of prediction markets
Role in the story: Ongoing regulatory disputes in the U.S. may limit who can participate in prediction markets
Motivation: To protect investors and maintain market integrity
Businesses and investors
Position: Supporting the use of prediction markets for strategic decision-making
Role in the story: Using prediction markets to tap into market expectations and make informed decisions
Motivation: To gain a competitive edge and make better business decisions (our reading)
Using Prediction Markets for Strategic Decision-Making
The Benefits of Using Prediction Markets
Prediction markets can provide a 25% reduction in mean squared error compared to internal expert forecasts, as seen in a study of corporate prediction markets used by Google, Ford, and a large private materials company.
Decision-makers can use contract prices to gain insight into expectations around them, potentially helping to inform processes like financial planning, risk management, and policymaking.
The Limitations of Prediction Markets
Prediction markets are most useful when enough informed people have a reason to participate, and the group is missing important information or the incentives to trade are weak.
They're best-suited to questions with clearly defined outcomes and an authoritative source that can objectively determine the winner.
Tapping into Market Expectations for Business Success
To tap into market expectations and make informed decisions, businesses and investors can use prediction markets to:
- Gain insight into market expectations and sentiment
- Balance market expectations with internal forecasts and expert guidance
- Make more informed decisions by considering multiple inputs
Risk & Opportunity Assessment
| Commercial Risk | Low | The accuracy of prediction markets depends on the number of informed participants and the quality of their signal |
| Competitive Risk | Medium | Businesses and investors may face increased competition from those who are better able to tap into market expectations |
| Regulatory Risk | Medium | Ongoing regulatory disputes in the U.S. may limit who can participate in prediction markets |
| Reputation Risk | Low | The use of prediction markets can help businesses and investors build a reputation for being informed and forward-thinking |
| Technology Disruption | Low | Prediction markets are not a new technology, but rather a new tool for tapping into market expectations |
| Commercial Opportunity | High | Businesses and investors can gain a competitive edge by tapping into market expectations and making more informed decisions |
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