Based on current macro regime conditions and 10y breakeven inflation's historical behaviour in similar regimes, the model projects 2.48% by 2026-12-31 ( -0.3% from 2.49% today). The 68% confidence range is 0.46% to 4.50%; the wider 95% range is -1.48% to 6.45%. Methodology below the headline.
10Y Breakeven Inflation Forecast 2026
Quantitative analysis from 5,847 observations of 10Y Breakeven Inflation history, joined to four universal macro regime classifications. Numbers are computed, not narrated.
Regime Scan[01/04]
Δ = divergence from +1.8% unconditional all-history average
Performance by Window[02]
| WINDOW | N | ANN RET | ANN VOL | RET/VOL | HIT % | TOTAL |
|---|---|---|---|---|---|---|
| 1Y | 251 | 6.41% | 12.25% | 0.52 | 37.6% | 6.41% |
| 3Y | 750 | 4.38% | 16.19% | 0.27 | 39.8% | 13.70% |
| 5Y | 1,250 | -0.40% | 21.45% | -0.02 | 42.3% | -1.97% |
| 10Y | 2,501 | 4.52% | 32.11% | 0.14 | 42.7% | 55.63% |
| All | 5,847 | 1.80% | 102.27% | 0.02 | 42.7% | 51.83% |
Annualized total return = (1 + total)^(1/years) - 1. Ret/Vol is the annualized return divided by annualized volatility (Sharpe-equivalent without risk-free subtraction). Hit % = pct of single periods that were positive.
Where We Are Now[03]
Forward Returns by Macro Regime[04]
How 10Y Breakeven Inflation has performed historically conditional on the prevailing macro regime. The current bucket is highlighted; +1Y averages drive the headline signal above.
| REGIME BUCKET | N | +30D | +90D | +1Y AVG | +1Y MED | HIT % |
|---|---|---|---|---|---|---|
| Low (<15) | 2,082 | -0.66% | -2.58% | -3.31% | -2.64% | 41.5% |
| Normal (15-25) | 2,817 | 0.61% | 0.74% | -0.18% | -1.21% | 46.8% |
| Elevated (25-40) | 761 | 4.15% | 10.38% | 19.82% | 10.56% | 64.6% |
| Extreme (>40) | 177 | 71.46% | 176.94% | 313.81% | 121.78% | 98.9% |
| REGIME BUCKET | N | +30D | +90D | +1Y AVG | +1Y MED | HIT % |
|---|---|---|---|---|---|---|
| Inverted (<0bps) | 782 | -0.29% | -0.80% | -0.70% | -0.42% | 46.2% |
| Flat (0-100bps) | 2,127 | 1.15% | 3.44% | 4.17% | -1.73% | 45.9% |
| Steep (>100bps) | 2,938 | 4.75% | 9.98% | 18.99% | 1.01% | 51.5% |
| REGIME BUCKET | N | +30D | +90D | +1Y AVG | +1Y MED | HIT % |
|---|---|---|---|---|---|---|
| Tight (<350bps) | 918 | 0.29% | 0.43% | -1.64% | -0.43% | 45.1% |
| Normal (350-500bps) | 1,369 | -0.29% | -2.00% | -0.95% | -0.53% | 48.0% |
| Stressed (>500bps) | 552 | 4.68% | 15.39% | 34.22% | 21.79% | 81.5% |
| REGIME BUCKET | N | +30D | +90D | +1Y AVG | +1Y MED | HIT % |
|---|---|---|---|---|---|---|
| Weak (bottom tercile) | 992 | 0.00% | -4.84% | -10.56% | -3.26% | 38.4% |
| Neutral (middle) | 1,230 | 0.80% | 4.26% | 5.92% | 0.88% | 50.8% |
| Strong (top tercile) | 2,596 | 5.39% | 12.25% | 23.39% | 0.00% | 49.8% |
Forward returns are forward-looking from each historical observation in the bucket; +252d corresponds to one trading year. Buckets with fewer than 5 forward-return observations are reported as n/a. These are conditional historical averages, not forecasts.
Lead-Lag Relationships[05]
For each universally-recognised leading indicator, the lag at which the daily-return correlation peaks. Positive lag means the anchor leads 10Y Breakeven Inflation; negative means it lags.
| ANCHOR | ROLE | PEAK LAG | PEAK CORR | ZERO-LAG | RELATIONSHIP |
|---|---|---|---|---|---|
| Initial Jobless Claims | Labor leader | -1d | 0.449 | 0.054 | coincident |
| HY OAS Spread | Credit risk leader | 0d | -0.339 | -0.339 | coincident |
| Trade-Weighted Dollar | FX driver | 0d | -0.172 | -0.172 | coincident |
| Copper | Global growth proxy | 0d | 0.134 | 0.134 | weak |
| 10Y Treasury Yield | Discount-rate driver | 0d | 0.132 | 0.132 | weak |
| VIX | Volatility leader | 0d | -0.092 | -0.092 | weak |
| Baa-10Y Spread | Credit risk (slow) | 0d | -0.072 | -0.072 | weak |
| 10Y-2Y Yield Spread | Recession leader | 0d | 0.014 | 0.014 | weak |
| NFCI | Financial conditions | 0d | 0.008 | 0.008 | weak |
| U-Mich Consumer Sentiment | Survey leader | 0d | 0.000 | 0.000 | weak |
Pearson correlation of daily returns over up to 25 years of overlapping history, searched across a ±60-day lag grid. Indicators classified as “weak” don't have meaningful predictive power at daily resolution; many of these (yield curve, NFCI, sentiment) lead at monthly/quarterly horizons instead.
Historical Analogs[06]
Periods where 10Y Breakeven Inflation sat at a similar percentile rank to today, with what happened over the next 30 / 90 / 252 trading days. Analogs are clustered to avoid double-counting nearby dates.
| DATE | VALUE | +30D | +90D | +1Y |
|---|---|---|---|---|
| Feb 20, 2025 | 2.4500 | -6.94% | -6.53% | -6.94% |
| Oct 20, 2023 | 2.4700 | -10.53% | -6.07% | -6.48% |
| Mar 6, 2023 | 2.4900 | -6.83% | -10.04% | -7.63% |
| Nov 8, 2022 | 2.5000 | -12.40% | -8.80% | -7.20% |
| Aug 9, 2022 | 2.4700 | -3.64% | -12.96% | -4.45% |
Worst Historical Drawdown[07]
Cross-Asset Correlations · 1Y[08]
Largest Single-Period Moves[09]
- Nov 24, 2008380.00%
- Jan 6, 2009180.00%
- Dec 17, 2008112.50%
- Dec 16, 200860.00%
- Jan 2, 200954.55%
- Nov 20, 2008-90.00%
- Dec 12, 2008-41.38%
- Dec 15, 2008-41.18%
- Dec 19, 2008-34.78%
- Nov 19, 2008-34.43%
Calendar-Month Seasonality[10]
Average single-period return aggregated by the calendar month in which the period ended.
| MONTH | AVG RETURN | HIT % | N |
|---|---|---|---|
| January | 0.79% | 49.8% | 486 |
| February | 0.04% | 43.3% | 460 |
| March | 0.05% | 42.5% | 525 |
| April | 0.13% | 43.8% | 504 |
| May | -0.12% | 37.6% | 497 |
| June | -0.06% | 40.2% | 488 |
| July | 0.17% | 45.1% | 486 |
| August | -0.18% | 36.5% | 509 |
| September | -0.06% | 45.0% | 471 |
| October | 0.14% | 46.4% | 485 |
| November | 0.61% | 39.9% | 449 |
| December | 0.06% | 42.6% | 486 |
N = 5,847 OBS · GENERATED 2026-05-18 09:30Z
Forecast Approach
regime implied: The current macro regime classification (Goldilocks, Reflation, Stagflation, or Deflation) dictates the expected direction and magnitude of movement, calibrated against historical regime performance.
Consensus source: Cleveland Fed nowcast and breakeven inflation
Key Drivers & Risks
- •Energy prices
- •Shelter costs
- •Wage growth
- •Supply chains
- •Monetary policy
Historical Volatility
Low-moderate: 1-3% annual range under normal conditions
Scenarios That Affect This Forecast
How 10Y Breakeven Forecasts Have Held Up Historically
10Y breakeven inflation forecasts have a better track record than 5Y breakeven because the long-run measure is anchored by Fed credibility and mean-reverts more reliably. T10YIE has held in a 2.0-2.6% range since mid-2024 despite headline CPI volatility, reflecting the market's belief in long-run Fed inflation-targeting.
Regime-conditional models on T10YIE achieve approximately 70% directional accuracy. The 5Y5Y forward inflation rate (derived from T5YIE and T10YIE) at 2.30% sits close to the Fed's 2% target and is the cleanest single read on Fed credibility.
Regime Sensitivity for T10YIE
10Y breakeven is the long-run inflation regime variable. Goldilocks anchors it near 2.0-2.4%; stagflation pushes it above 2.8%; deflation pulls it below 1.5% (2008 GFC took it briefly negative).
The April 2026 setup has T10YIE at 2.40%, modestly above the Fed's 2% target. The 5Y5Y forward at 2.30% is "anchored" by Fed credibility standards; readings above 2.5% would flag de-anchoring risk. The current setup reads as stable; near-term inflation pressure (Iran, tariffs) is captured in the 5Y leg, not the 10Y.
What Drives T10YIE Forecast Errors
Three structural issues drive T10YIE forecast errors. First, breakevens reflect orderly inflation (mean-reverting to Fed target) rather than tail-risk debasement. The 2024-2026 gold rally (+135%) has been disconnected from breakevens (stable 2.0-2.6%); gold captures debasement risks beyond market-priced inflation that breakevens do not.
Second, foreign demand for TIPS is structurally lower than for nominal Treasuries. Reserve managers prefer nominals for liquidity reasons; pension and insurance demand drives TIPS pricing. Demand shifts can move breakevens 10-20bp without any change in the underlying inflation outlook.
Third, the term premium component of nominal yields contaminates the breakeven signal. Term premium changes that don't reflect inflation expectations still move T10YIE by mechanically affecting the nominal-TIPS spread.
How to Use This Forecast in Practice
For T10YIE, the cleanest single signal is its level relative to the Fed's 2% target plus the 5Y5Y forward derivation. Sustained T10YIE above 2.5% flags inflation-credibility risk; sustained below 1.8% flags deflation-scare regime.
The cleanest cross-check is the T10YIE-Michigan-Year-Ahead spread. Michigan retail expectations at 4.7% (April 2026, highest since 1981) versus T10YIE at 2.4% is a 230bp gap reflecting the retail-versus-market divergence. When the gap narrows, retail and market are converging; when it widens, retail is pricing in tail risks the market isn't. The 68% band on T10YIE is the tightest of any inflation series because of the long-run mean-reversion anchor.
Frequently Asked Questions
What factors could push 10Y Breakeven Inflation higher?▾
The primary drivers that tend to lift 10Y Breakeven Inflation depend on the current macro regime. Inflation erodes purchasing power and forces central banks to tighten, squeezing equity multiples and increasing credit stress. Breakeven rates reveal what the bond market expects for future inflation, while CPI and PCE measure what consumers actually experience. Divergences between market expectations and realized prints create some of the highest-impact trading events of the year. Convex tracks these drivers live across the Inflation category and flags when multiple forces align in the same direction. See the "Key Drivers & Risks" section on this page for the current list, and check the regime dashboard for how the macro backdrop is currently tilted.
What factors could push 10Y Breakeven Inflation lower?▾
The same transmission channels that drive 10Y Breakeven Inflation higher operate in reverse when conditions flip. The risk drivers listed above map directly to scenarios that, if triggered, would pull this metric in the opposite direction. Convex aggregates these into a scenario-weighted probability distribution rather than a point forecast, so the magnitude depends on which scenarios activate.
Where does consensus see 10Y Breakeven Inflation heading?▾
Rather than publish a point target that goes stale the day after release, Convex assembles consensus from the macro regime classification, active scenario probabilities, and historical base rates. Point forecasts from banks and strategists are worth reading for context, but they typically cluster around the consensus and miss the tail events that actually move markets. The scenario-weighted approach here captures that tail risk explicitly.
What is the historical range for 10Y Breakeven Inflation?▾
Historical ranges for 10Y Breakeven Inflation vary dramatically by regime. A level that is extreme in Goldilocks can be routine in Stagflation, and vice versa. The Historical Volatility section on this page describes the typical range and regime-specific behavior. For the full multi-decade history, visit the 10Y Breakeven Inflation chart page, which includes selectable time ranges up to five years and downloadable data.
How often is the 10Y Breakeven Inflation forecast updated?▾
This forecast page recalculates whenever the underlying data or regime classification changes, typically within hours of new data releases. The scenario probabilities refresh daily as the macro state is regenerated. Specific drivers listed on this page reflect the current state of the Convex regime engine, not static historical assumptions.
Is this forecast actionable for trading?▾
Convex forecasts are informational and educational. They describe probability distributions and regime-conditional paths rather than specific entry and exit levels. Traders and portfolio managers use them alongside other inputs including position sizing rules, risk management, and their own conviction calibration. They are not investment advice.
Get forecast updates for 10Y Breakeven Inflation and related indicators.
Forecasts are model-based projections derived from current regime classification, scenario probabilities, and historical patterns. They are not investment advice. All investments involve risk.