Key Takeaways
- Prediction market advocates argue that the wisdom of the crowd is better at predicting outcomes than a small group of experts.
- For instance, Kalshi claims its platform “beats Wall Street” consensus forecasts.
- Other research paints a more mixed picture of prediction market accuracy.
To mark the launch of its new research division on Monday, Dec. 22, Kalshi released a study that found its platform was able to predict inflation rates more accurately than Wall Street consensus forecasts.
But are prediction markets really as accurate as their proponents claim? A separate body of research questions the reliability of their forecasts.
Kalshi Claims it Beats Wall Street Inflation Forecasts
According to Kalshi’s study of short-term forecasts made one week ahead of official inflation releases, the prediction market platform matched or outperformed Wall Street consensus forecasts 85% of the time.
Across all time periods and market conditions, the company claims its forecasts were 40% more accurate overall, based on mean absolute error.
The analysis also highlighted what Kalshi called “shock alpha”—periods when forecasts diverged sharply from the eventual outcome.
In those cases, Kalshi said its forecasts showed 50% lower forecast error than traditional consensus estimates.
How Accurate Are Prediction Markets?
Prediction market advocates argue that the wisdom of the crowd is better at predicting outcomes than a small group of experts.
But despite Kalshi’s claim, which was based on an internal analysis, independent research paints a more mixed picture of prediction market accuracy.
For instance, one study examining nearly 2,500 political prediction markets traded during the final weeks of the 2024 U.S. presidential election observed accuracy of just 78% on Kalshi and 67% on Polymarket.
Markets tied to well-defined, information-rich events—such as who would win the presidency—performed best.
More speculative contracts, like whether a candidate would mention a specific word in a speech, performed significantly worse.
Inefficiencies Drag on Accuracy
Inaccurate prediction markets reflect inefficiencies in what is still an emerging financial frontier.
The study of political prediction markets concluded that prices were influenced by speculative behavior, momentum trading, partisan bets, and even attempts to shape media narratives.
It also highlighted significant price divergences between equivalent contracts on different platforms.
This suggests that the market making and arbitrage required to effectively align forecasts with public opinion remains immature.
Outside of abstract models, economists acknowledge that there is no such thing as a perfect market.
The new world of event contract trading is no different.
As new players increasingly enter the space, there is still significant room for improvement.
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James Morales is CCN’s blockchain and crypto policy reporter. He has been working in the news media since 2020, writing about topics such as payments, banking and financial technology. These days, he likes to explore the latest blockchain innovations and the evolving landscape of global crypto regulation.
With an educational background in social anthropology and media studies, James uses his platform as a journalist to explore how new technologies work, why they matter and how they might shape our future.
