Based on current macro regime conditions and 30y treasury yield's historical behaviour in similar regimes, the model projects 5.13% by 2026-12-31 ( +2.2% from 5.02% today). The 68% confidence range is 4.04% to 6.23%; the wider 95% range is 2.99% to 7.27%. Methodology below the headline.
30Y Treasury Yield Forecast 2026
Quantitative analysis from 6,249 observations of 30Y Treasury Yield history, joined to four universal macro regime classifications. Numbers are computed, not narrated.
Regime Scan[01/04]
Δ = divergence from -0.5% unconditional all-history average
Performance by Window[02]
| WINDOW | N | ANN RET | ANN VOL | RET/VOL | HIT % | TOTAL |
|---|---|---|---|---|---|---|
| 1Y | 251 | 1.01% | 12.80% | 0.08 | 46.0% | 1.01% |
| 3Y | 750 | 9.35% | 18.46% | 0.51 | 47.0% | 30.73% |
| 5Y | 1,250 | 16.40% | 25.76% | 0.64 | 48.0% | 113.62% |
| 10Y | 2,500 | 6.85% | 33.12% | 0.21 | 45.7% | 93.82% |
| All | 6,249 | -0.55% | 27.41% | -0.02 | 44.6% | -12.85% |
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 30Y Treasury Yield 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 | -0.07% | -0.57% | -2.98% | -1.31% | 45.6% |
| Normal (15-25) | 3,026 | 0.32% | -0.13% | 1.91% | -2.43% | 42.8% |
| Elevated (25-40) | 939 | 1.10% | 5.54% | 8.96% | 1.18% | 54.7% |
| Extreme (>40) | 191 | 0.00% | 10.92% | 31.11% | 27.45% | 85.3% |
| REGIME BUCKET | N | +30D | +90D | +1Y AVG | +1Y MED | HIT % |
|---|---|---|---|---|---|---|
| Inverted (<0bps) | 782 | 1.75% | 3.89% | 7.82% | 6.71% | 66.8% |
| Flat (0-100bps) | 2,126 | 0.99% | 3.83% | 4.48% | 3.75% | 56.2% |
| Steep (>100bps) | 3,341 | -0.48% | -1.56% | -0.30% | -4.17% | 37.1% |
| REGIME BUCKET | N | +30D | +90D | +1Y AVG | +1Y MED | HIT % |
|---|---|---|---|---|---|---|
| Tight (<350bps) | 918 | 0.74% | 3.63% | 21.57% | 8.45% | 78.7% |
| Normal (350-500bps) | 1,369 | 1.47% | 2.06% | -0.35% | 2.91% | 55.4% |
| Stressed (>500bps) | 552 | 1.30% | 7.40% | 20.62% | 17.41% | 80.6% |
| REGIME BUCKET | N | +30D | +90D | +1Y AVG | +1Y MED | HIT % |
|---|---|---|---|---|---|---|
| Weak (bottom tercile) | 992 | -0.17% | -4.18% | -10.07% | -9.81% | 15.2% |
| Neutral (middle) | 1,230 | 0.84% | 4.57% | 15.17% | 5.50% | 61.8% |
| Strong (top tercile) | 2,596 | 0.49% | 1.91% | 3.78% | 4.03% | 58.5% |
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 30Y Treasury Yield; negative means it lags.
| ANCHOR | ROLE | PEAK LAG | PEAK CORR | ZERO-LAG | RELATIONSHIP |
|---|---|---|---|---|---|
| 10Y Treasury Yield | Discount-rate driver | 0d | 0.928 | 0.928 | coincident |
| HY OAS Spread | Credit risk leader | 0d | -0.367 | -0.367 | coincident |
| Initial Jobless Claims | Labor leader | -9d | 0.286 | -0.138 | lags target by 9d |
| VIX | Volatility leader | 0d | -0.222 | -0.222 | coincident |
| Baa-10Y Spread | Credit risk (slow) | 0d | -0.156 | -0.156 | coincident |
| Copper | Global growth proxy | 0d | 0.154 | 0.154 | coincident |
| 10Y-2Y Yield Spread | Recession leader | 0d | 0.150 | 0.150 | coincident |
| Trade-Weighted Dollar | FX driver | 0d | -0.054 | -0.054 | weak |
| NFCI | Financial conditions | +14d | -0.029 | -0.016 | 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 30Y Treasury Yield 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 |
|---|---|---|---|---|
| May 13, 2025 | 4.9400 | -2.63% | -3.44% | n/a |
| Jan 15, 2025 | 4.8800 | -7.58% | 1.23% | -0.20% |
| Nov 1, 2023 | 4.9600 | -18.75% | -12.30% | -9.27% |
| May 13, 2004 | 5.6100 | -2.14% | -13.01% | -20.32% |
| Jun 7, 2002 | 5.8100 | -5.34% | -9.98% | -22.72% |
Worst Historical Drawdown[07]
Cross-Asset Correlations · 1Y[08]
Largest Single-Period Moves[09]
- Mar 10, 202029.29%
- Mar 17, 202021.64%
- Mar 12, 202014.62%
- Nov 9, 20169.51%
- May 18, 20209.09%
- Mar 9, 2020-20.80%
- Mar 6, 2020-19.87%
- Mar 23, 2020-14.19%
- Mar 16, 2020-14.10%
- Mar 20, 2020-12.92%
Calendar-Month Seasonality[10]
Average single-period return aggregated by the calendar month in which the period ended.
| MONTH | AVG RETURN | HIT % | N |
|---|---|---|---|
| January | 0.02% | 45.9% | 508 |
| February | 0.03% | 45.7% | 479 |
| March | 0.06% | 47.9% | 545 |
| April | 0.08% | 46.8% | 526 |
| May | -0.00% | 44.1% | 526 |
| June | -0.03% | 42.7% | 529 |
| July | -0.06% | 41.4% | 529 |
| August | -0.10% | 40.3% | 554 |
| September | 0.07% | 43.9% | 508 |
| October | 0.14% | 49.5% | 529 |
| November | -0.09% | 42.0% | 488 |
| December | 0.01% | 45.4% | 527 |
N = 6,249 OBS · GENERATED 2026-05-18 07:00Z
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
How 30Y Yield Forecasts Have Held Up Historically
30Y Treasury yield forecasts have a worse track record than 10Y forecasts because the long bond carries the largest term-premium exposure in the curve. Consensus 30Y forecasts have missed the realized year-end print by 60bp+ in absolute median terms over 2010-2025, with the 2022-2023 cycle seeing the 30Y peak at 5.18% (October 2023) versus consensus near 3.8%.
Regime-conditional models on DGS30 achieve approximately 60% directional accuracy. The 30Y is the cleanest single read on long-run inflation expectations plus term premium plus expected policy paths over decades.
Regime Sensitivity for DGS30
The 30Y yield carries the largest term-premium loading of any rate. Goldilocks regimes typically anchor the 30Y in 4.0-5.0% range; stagflation pushes it above 5%; deflation pulls it toward 3% (2020 lows hit 1.16%).
The April 2026 setup has the 30Y near 5.0%, well above the 2010s average and reflecting the term-premium rebuild from -50bp in 2020 to +68bp in 2026 (ACM model). The 30Y-10Y spread (currently roughly +70bp) captures the term-premium-and-uncertainty component. The regime conditional reads as elevated relative to the 2010s but anchored relative to historical norms.
What Drives DGS30 Forecast Errors
Three structural issues drive DGS30 forecast errors. First, term-premium decomposition is unstable and not in most regime classifiers. The ACM term-premium model run by the New York Fed shows a 118bp swing from 2020 trough to 2026 print, none of which is captured in breakevens or real yields.
Second, foreign reserve manager behaviour has shifted. Foreign holdings of US Treasuries as a share of total reserves declined through 2022-2024; the long bond is most exposed because the price-insensitive foreign bid was largest at the long end.
Third, fiscal-deficit dynamics matter more for the long bond than for the short end. US deficits at $2T+ annually require sustained Treasury issuance, with the 20Y and 30Y points carrying the largest supply pressure.
How to Use This Forecast in Practice
For DGS30, watch the 30Y TIPS real yield (the inflation-adjusted long-bond level) and the ACM 30Y term premium. Sustained 30Y TIPS above 2.5% flags long-bond stress; ACM term premium above 100bp flags fiscal-supply concern.
The cleanest cross-check is the 30Y-10Y spread. Steepening (30Y rising faster than 10Y) signals long-end-specific stress (term premium, fiscal); flattening signals broader rate convergence. The 68% band on DGS30 should be treated as 35%+ wider than the historical bootstrap implies because of the term-premium and fiscal-supply regime changes.
Frequently Asked Questions
What factors could push 30Y Treasury Yield higher?▾
The primary drivers that tend to lift 30Y Treasury Yield 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 30Y Treasury Yield lower?▾
The same transmission channels that drive 30Y Treasury Yield 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 30Y Treasury Yield 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 30Y Treasury Yield?▾
Historical ranges for 30Y Treasury Yield 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 30Y Treasury Yield chart page, which includes selectable time ranges up to five years and downloadable data.
How often is the 30Y Treasury Yield 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 30Y Treasury Yield 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.