Based on current macro regime conditions and 5y breakeven inflation's historical behaviour in similar regimes, the model projects 2.73% by 2026-12-31 ( +1.0% from 2.70% today). The 68% confidence range is -1.00% to 6.45%; the wider 95% range is -4.58% to 10.03%. Methodology below the headline.
5Y Breakeven Inflation Forecast 2026
Quantitative analysis from 5,844 observations of 5Y Breakeven Inflation history, joined to four universal macro regime classifications. Numbers are computed, not narrated.
Regime Scan[01/04]
Δ = divergence from +3.2% unconditional all-history average
Performance by Window[02]
| WINDOW | N | ANN RET | ANN VOL | RET/VOL | HIT % | TOTAL |
|---|---|---|---|---|---|---|
| 1Y | 251 | 12.04% | 16.52% | 0.73 | 46.4% | 12.03% |
| 3Y | 750 | 8.57% | 20.78% | 0.41 | 45.1% | 27.96% |
| 5Y | 1,250 | -0.15% | 26.26% | -0.01 | 46.6% | -0.74% |
| 10Y | 2,501 | 5.85% | 59.78% | 0.10 | 45.3% | 76.47% |
| All | 5,844 | 3.18% | 173.82% | 0.02 | 45.2% | 107.69% |
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 5Y 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 | -0.88% | -3.57% | -3.67% | -3.73% | 41.1% |
| Normal (15-25) | 2,817 | 1.11% | 2.51% | 1.66% | 0.00% | 50.0% |
| Elevated (25-40) | 761 | 5.33% | 16.29% | 32.59% | 16.07% | 66.0% |
| Extreme (>40) | 174 | 92.33% | 348.14% | 673.47% | 271.01% | 99.4% |
| REGIME BUCKET | N | +30D | +90D | +1Y AVG | +1Y MED | HIT % |
|---|---|---|---|---|---|---|
| Inverted (<0bps) | 782 | -0.74% | -1.25% | -1.47% | -1.75% | 42.8% |
| Flat (0-100bps) | 2,127 | 2.33% | 6.72% | 10.46% | -1.73% | 46.9% |
| Steep (>100bps) | 2,935 | 5.79% | 20.14% | 40.61% | 3.68% | 54.6% |
| REGIME BUCKET | N | +30D | +90D | +1Y AVG | +1Y MED | HIT % |
|---|---|---|---|---|---|---|
| Tight (<350bps) | 918 | 0.99% | 1.84% | -0.87% | 0.39% | 50.2% |
| Normal (350-500bps) | 1,369 | -0.49% | -2.72% | 0.41% | -0.46% | 48.7% |
| Stressed (>500bps) | 552 | 10.40% | 31.98% | 67.17% | 27.82% | 86.6% |
| REGIME BUCKET | N | +30D | +90D | +1Y AVG | +1Y MED | HIT % |
|---|---|---|---|---|---|---|
| Weak (bottom tercile) | 992 | -0.19% | -6.12% | -15.93% | -6.48% | 36.9% |
| Neutral (middle) | 1,230 | -1.63% | 6.96% | 11.46% | 1.86% | 52.1% |
| Strong (top tercile) | 2,593 | 7.74% | 23.00% | 47.94% | 2.14% | 53.6% |
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 5Y Breakeven Inflation; negative means it lags.
| ANCHOR | ROLE | PEAK LAG | PEAK CORR | ZERO-LAG | RELATIONSHIP |
|---|---|---|---|---|---|
| Initial Jobless Claims | Labor leader | -1d | 0.596 | 0.091 | coincident |
| HY OAS Spread | Credit risk leader | 0d | -0.233 | -0.233 | coincident |
| Trade-Weighted Dollar | FX driver | 0d | -0.152 | -0.152 | coincident |
| Copper | Global growth proxy | 0d | 0.122 | 0.122 | weak |
| VIX | Volatility leader | 0d | -0.078 | -0.078 | weak |
| 10Y Treasury Yield | Discount-rate driver | 0d | 0.063 | 0.063 | weak |
| Baa-10Y Spread | Credit risk (slow) | +34d | -0.058 | -0.024 | weak |
| 10Y-2Y Yield Spread | Recession leader | +18d | 0.011 | 0.003 | weak |
| NFCI | Financial conditions | 0d | 0.010 | 0.010 | 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 5Y 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 |
|---|---|---|---|---|
| Mar 31, 2025 | 2.6100 | -8.81% | -5.75% | 0.00% |
| Mar 6, 2023 | 2.7000 | -12.96% | -20.00% | -11.85% |
| Nov 8, 2022 | 2.6100 | -14.18% | -11.49% | -12.64% |
| Aug 10, 2022 | 2.6100 | -6.13% | -13.41% | -12.26% |
| May 12, 2022 | 2.8900 | -3.46% | -14.53% | -26.99% |
Worst Historical Drawdown[07]
Cross-Asset Correlations · 1Y[08]
Largest Single-Period Moves[09]
- Oct 17, 2008200.00%
- Dec 3, 2008137.50%
- Dec 17, 2008130.00%
- Oct 20, 2008125.00%
- Jan 22, 2009125.00%
- Dec 5, 2008-400.00%
- Jan 14, 2009-333.33%
- Oct 21, 2008-233.33%
- Dec 18, 2008-222.22%
- Dec 19, 2008-181.82%
Calendar-Month Seasonality[10]
Average single-period return aggregated by the calendar month in which the period ended.
| MONTH | AVG RETURN | HIT % | N |
|---|---|---|---|
| January | 0.78% | 51.8% | 485 |
| February | 0.40% | 48.0% | 460 |
| March | 0.11% | 44.4% | 525 |
| April | 0.22% | 47.2% | 504 |
| May | -0.12% | 40.4% | 497 |
| June | 0.03% | 43.9% | 488 |
| July | 0.03% | 43.6% | 486 |
| August | -0.19% | 40.3% | 509 |
| September | -0.10% | 46.3% | 471 |
| October | -0.63% | 47.6% | 485 |
| November | -0.21% | 42.8% | 446 |
| December | -0.96% | 46.3% | 486 |
N = 5,844 OBS · GENERATED 2026-05-18 08:30Z
Forecast Approach
scenario weighted: We aggregate probability-weighted outcomes across active tracked scenarios, each with historical base rates and current heat scores. The projection above is the sample-weighted central estimate across current macro regime anchors; the scenario list below adds qualitative context.
Consensus source: Fed dot plot and futures market
Key Drivers & Risks
- •Federal Reserve policy
- •Inflation expectations
- •Economic growth
- •Global yield differentials
- •Treasury supply
Historical Volatility
Moderate: typically 50-150bps annual range
Scenarios That Affect This Forecast
How 5Y Breakeven Forecasts Have Held Up Historically
5-year breakeven inflation forecasts have a moderate track record. The 2021-2022 inflation surge took T5YIE from 1.9% to a 3.6% peak in March 2022 as the supply shock priced in; consensus forecasts in early 2021 were still anchored near 2%, missing the magnitude. The 2023-2024 disinflation took T5YIE back to the 2.2-2.6% range; this leg was directionally correct in consensus.
Regime-conditional models on T5YIE achieve approximately 65% directional accuracy. The 5Y breakeven moves with energy prices (oil shocks dominate near-term inflation expectations), Fed credibility, and tariff news.
Regime Sensitivity for T5YIE
5Y breakeven is itself a regime variable. Goldilocks regimes anchor it near 2-2.4% (target plus modest premium); stagflation regimes push it above 2.8%; deflation pulls it below 1.5%.
The April 2026 setup has T5YIE at 2.58%, modestly above target and tracking the Iran-war oil premium plus Trump-tariff first-order effects. The 5Y-10Y breakeven spread is +18bp inverted (5Y above 10Y), reflecting near-term inflation pressure versus long-run Fed credibility. Historical inversions of this magnitude have preceded either inflation acceleration (1980s) or rapid Fed credibility wins (2008 example flipped to deep inversion as deflation regime priced in).
What Drives T5YIE Forecast Errors
Three structural issues drive T5YIE forecast errors. First, oil price shocks dominate short-term inflation expectations and are themselves hard to forecast. The April 2026 Iran premium added 30-40bp to T5YIE that no model could have predicted ex-ante.
Second, TIPS market liquidity is thinner than nominal Treasury liquidity, especially at the 5Y point. Liquidity premia widen during stress (March 2020 saw T5YIE distort sharply lower as TIPS were sold for cash) and produce signal noise.
Third, tariff pass-through is uncertain and binary. The 2025-2026 Trump tariff regime added an estimated 50-70bp to near-term inflation expectations; the future path depends on whether tariffs escalate, hold, or roll back.
How to Use This Forecast in Practice
For T5YIE, the cleanest single signal is its spread to T10YIE (5Y-10Y breakeven curve). Inversion (5Y above 10Y) flags near-term inflation pressure; positive slope flags long-term debasement concerns. The April 2026 inversion of +18bp captures the Iran premium plus tariff first-order effects.
The cleanest cross-check is the relationship to oil. T5YIE has roughly 0.7 correlation with Brent over rolling windows; sustained oil-and-T5YIE divergence signals either an oil-shock priced in (T5YIE leads) or a credibility regime shift (T5YIE diverges from oil). The 68% band on T5YIE should be treated as roughly 25% wider than the historical bootstrap during active geopolitical conflict.
Frequently Asked Questions
What factors could push 5Y Breakeven Inflation higher?▾
The primary drivers that tend to lift 5Y Breakeven Inflation depend on the current macro regime. Interest rates set the price of money and ripple through every asset class. An inverted yield curve has preceded every U.S. recession since the 1960s, making this the single most-watched corner of fixed income. Monitoring rate differentials, real yields, and forward expectations helps traders anticipate risk-on or risk-off regime shifts. Convex tracks these drivers live across the Yield Curve & Rates 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 5Y Breakeven Inflation lower?▾
The same transmission channels that drive 5Y 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 5Y 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 5Y Breakeven Inflation?▾
Historical ranges for 5Y 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 5Y Breakeven Inflation chart page, which includes selectable time ranges up to five years and downloadable data.
How often is the 5Y 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 5Y 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.