In accordance with PANews, Kalshi Research has released a report comparing the accuracy of Kalshi prediction market forecasts with Wall Street consensus estimates for year-over-year (YOY) CPI. The study found that Kalshi's market-based predictions had a 40.1% lower average absolute error (MAE) than consensus forecasts across all market conditions. During major inflation shocks (greater than 0.2 percentage points), Kalshi's MAE was 50% lower than consensus one week before data release and 60% lower on the day before. The report also highlights that when market predictions diverged from consensus by more than 0.1 percentage points, the probability of a shock occurring was approximately 81.2%.
Kalshi Prediction Market Outperforms Wall Street Consensus in CPI Forecasting
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Summary
Kalshi prediction market outperformed Wall Street consensus in CPI forecasting, according to a new report by Kalshi Research. The market-based forecasts showed a 40.1% lower average absolute error than consensus estimates. During major inflation shocks, Kalshi’s error rate was 50% lower one week before data release and 60% lower the day before. When predictions diverged from consensus by more than 0.1 percentage points, the chance of a shock rose to 81.2%. The results highlight the potential of prediction markets for price prediction and even Bitcoin price prediction in volatile environments.
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