CPI (All Items) — Impact on Fed Rate Prediction Markets
Headline inflation captures the full cost-of-living picture. Spikes in food and energy can temporarily distort readings, but sustained headline strength pressures the Fed.
+/-
per 1σ surprise
↑ Hawkish
when high vs consensus
Pre-calibration
data points
Release Schedule
Frequency
Monthly
Release time
8:30 AM ET
Delay
~12 days after month end
FRED series
CPIAUCSL
Historical Releases
| Period | Actual | Consensus | Surprise |
|---|---|---|---|
| Apr 2026 | 332.4% | — | — |
| Mar 2026 | 330.3% | — | — |
How CPI (All Items) Moves Fed Rate Prediction Markets
Headline Consumer Price Index — all items including food and energy.
Headline inflation captures the full cost-of-living picture. Spikes in food and energy can temporarily distort readings, but sustained headline strength pressures the Fed.
The Bayesian Sensitivity Model
The model calibrates a sensitivity coefficient for each indicator: how many percentage points the cut probability at the next FOMC meeting moves per standard deviation of surprise. For CPI, the preliminary coefficient is ±+/- 5–9pp on cut probability. This means ifCPI comes in 1 standard deviation above consensus (hawkish surprise), the model reduces cut probability by approximately +/- 5–9pp on cut probability.
These coefficients are preliminary until calibrated from at least 20 historical observations of Kalshi price reactions to each release. The calibration uses a regression of (surprise_zscore × sensitivity_coefficient) against observed Kalshi probability changes, cross-validated against CME FedWatch data going back to 2015.
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