Based on current macro regime conditions and 10y treasury yield's historical behaviour in similar regimes, the model projects 4.72% by 2026-12-31 ( +5.6% from 4.47% today). The 68% confidence range is 3.37% to 6.07%; the wider 95% range is 2.07% to 7.37%. Methodology below the headline.
10Y Treasury Yield Forecast 2026
Quantitative analysis from 6,250 observations of 10Y Treasury Yield history, joined to four universal macro regime classifications. Numbers are computed, not narrated.
Regime Scan[01/04]
Δ = divergence from -0.8% unconditional all-history average
Performance by Window[02]
| WINDOW | N | ANN RET | ANN VOL | RET/VOL | HIT % | TOTAL |
|---|---|---|---|---|---|---|
| 1Y | 251 | -1.33% | 15.40% | -0.09 | 47.6% | -1.32% |
| 3Y | 750 | 8.50% | 21.18% | 0.40 | 47.0% | 27.71% |
| 5Y | 1,250 | 22.36% | 32.32% | 0.69 | 48.7% | 174.23% |
| 10Y | 2,500 | 9.84% | 46.09% | 0.21 | 45.8% | 155.43% |
| All | 6,250 | -0.80% | 38.05% | -0.02 | 44.9% | -18.13% |
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 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 | 0.45% | 0.96% | -1.05% | -0.90% | 47.7% |
| Normal (15-25) | 3,027 | 0.63% | 0.97% | 6.21% | -5.54% | 40.0% |
| Elevated (25-40) | 939 | 1.83% | 7.93% | 16.28% | 2.27% | 52.0% |
| Extreme (>40) | 191 | -3.36% | 6.70% | 37.23% | 28.93% | 69.6% |
| REGIME BUCKET | N | +30D | +90D | +1Y AVG | +1Y MED | HIT % |
|---|---|---|---|---|---|---|
| Inverted (<0bps) | 782 | 1.75% | 3.73% | 4.50% | 2.18% | 55.8% |
| Flat (0-100bps) | 2,126 | 1.48% | 6.33% | 10.81% | 3.12% | 52.8% |
| Steep (>100bps) | 3,342 | -0.18% | -0.69% | 4.10% | -5.78% | 38.9% |
| REGIME BUCKET | N | +30D | +90D | +1Y AVG | +1Y MED | HIT % |
|---|---|---|---|---|---|---|
| Tight (<350bps) | 918 | 1.30% | 6.30% | 33.44% | 3.30% | 58.1% |
| Normal (350-500bps) | 1,369 | 2.54% | 3.85% | 1.89% | 7.14% | 54.9% |
| Stressed (>500bps) | 552 | 0.96% | 11.99% | 43.59% | 31.15% | 82.6% |
| REGIME BUCKET | N | +30D | +90D | +1Y AVG | +1Y MED | HIT % |
|---|---|---|---|---|---|---|
| Weak (bottom tercile) | 992 | 0.50% | -3.31% | -10.33% | -18.82% | 13.4% |
| Neutral (middle) | 1,230 | 1.92% | 9.08% | 28.59% | 8.62% | 54.2% |
| Strong (top tercile) | 2,596 | 0.35% | 2.10% | 6.73% | 2.06% | 52.1% |
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 Treasury Yield; negative means it lags.
| ANCHOR | ROLE | PEAK LAG | PEAK CORR | ZERO-LAG | RELATIONSHIP |
|---|---|---|---|---|---|
| HY OAS Spread | Credit risk leader | 0d | -0.406 | -0.406 | coincident |
| Baa-10Y Spread | Credit risk (slow) | 0d | -0.324 | -0.324 | coincident |
| Initial Jobless Claims | Labor leader | -9d | 0.292 | -0.128 | lags target by 9d |
| VIX | Volatility leader | 0d | -0.240 | -0.240 | coincident |
| Copper | Global growth proxy | 0d | 0.146 | 0.146 | weak |
| 10Y-2Y Yield Spread | Recession leader | 0d | 0.108 | 0.108 | weak |
| Trade-Weighted Dollar | FX driver | -18d | 0.046 | -0.035 | weak |
| NFCI | Financial conditions | +14d | -0.028 | -0.017 | 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 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 | 4.4900 | -5.12% | -7.57% | n/a |
| Feb 12, 2025 | 4.6200 | -5.19% | -6.93% | -11.47% |
| Nov 14, 2024 | 4.4300 | 2.71% | -1.13% | -6.77% |
| Jul 24, 2024 | 4.2800 | -12.85% | -1.17% | 1.40% |
| Apr 24, 2024 | 4.6500 | -7.96% | -17.42% | -9.89% |
Worst Historical Drawdown[07]
Cross-Asset Correlations · 1Y[08]
Largest Single-Period Moves[09]
- Mar 10, 202040.74%
- Mar 17, 202039.73%
- Mar 18, 202015.69%
- Nov 9, 202015.66%
- Sep 4, 202014.29%
- Mar 9, 2020-27.03%
- Mar 16, 2020-22.34%
- Mar 6, 2020-19.57%
- Mar 20, 2020-17.86%
- Mar 23, 2020-17.39%
Calendar-Month Seasonality[10]
Average single-period return aggregated by the calendar month in which the period ended.
| MONTH | AVG RETURN | HIT % | N |
|---|---|---|---|
| January | -0.00% | 43.5% | 508 |
| February | 0.02% | 47.0% | 479 |
| March | 0.08% | 47.9% | 545 |
| April | 0.09% | 47.5% | 526 |
| May | -0.04% | 42.5% | 527 |
| June | 0.03% | 45.2% | 529 |
| July | -0.09% | 41.6% | 529 |
| August | -0.11% | 41.9% | 554 |
| September | 0.08% | 45.9% | 508 |
| October | 0.21% | 47.3% | 529 |
| November | -0.06% | 42.2% | 488 |
| December | 0.09% | 46.9% | 527 |
N = 6,250 OBS · GENERATED 2026-05-18 04:30Z
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 10Y Yield Forecasts Have Held Up Historically
10Y Treasury yield forecasts have a notoriously poor track record. Bloomberg Year-End Survey forecasts have missed the realized year-end print by 50bp+ in absolute median terms over 2010-2025, with the 2021 (1.5% target vs 1.51% realized, accurate), 2022 (2.0% target vs 3.88% realized, 188bp miss), 2023 (3.7% target vs 3.88% realized, accurate), and 2024 (3.9% target vs 4.57% realized, 67bp miss) cycles representing a chronic under-prediction of the rate-shock regime.
Regime-conditional models perform better than survey forecasts on direction (approximately 65% accuracy) but similarly poorly on magnitude. The Fed dot plot has been even worse than survey: it has consistently under-predicted the policy rate it itself was about to set, with the 2022 dots embarrassingly low versus the realized 5.25% peak.
Regime Sensitivity for DGS10
The 10Y yield is the dependent variable in most regime classifiers, not an independent input. Goldilocks regimes (low VIX, steep curve, tight credit) typically anchor the 10Y in a 3.5-4.5% range; stagflation regimes push the 10Y above 4.5%; deflation regimes pull it below 3.5%. The classifier reads back the regime from the curve shape rather than predicting the level.
The April 2026 setup has the 10Y at 4.31% with the 10Y-2Y curve re-steepened to +52bp after a 26-month inversion ended in October 2024. Term premium has rebuilt to roughly +68bp on the ACM model, the highest since 2014. The regime conditional reads as elevated relative to the 2010s but anchored relative to the 1980s-2000s. Cuts are pricing in but Fed dissent (4 votes for cuts April 29) keeps near-term policy on hold.
What Drives DGS10 Forecast Errors
Three structural issues drive 10Y forecast errors. First, term premium is unstable and not a regime variable in most classifiers. The ACM model run by the New York Fed shows term premium has rebuilt from approximately -50bp in 2020 to +68bp in 2026, a 118bp swing not captured in any breakeven or real-yield series. This alone explains a meaningful share of recent forecast misses.
Second, foreign reserve manager behaviour shifted in 2022-2024. Foreign holdings of US Treasuries as a share of total reserves declined; price-insensitive foreign demand that anchored the 10Y in the 2010s has weakened.
Third, Fed balance-sheet policy moved from QE to QT to maintenance, each shift altering the marginal Treasury buyer at the long end. The regime classifier doesn't have decade-long history under the current maintenance balance-sheet regime.
How to Use This Forecast in Practice
For DGS10, treat the forecast as a regime-conditional anchor but expect the realized print to land outside the 68% band more often than the bootstrap implies. The two most-reliable cross-checks are the 10Y TIPS real yield (anchors the inflation-adjusted level) and the ACM term premium (anchors the structural level).
The 10Y-2Y curve direction is the cleanest single regime signal: re-steepening after an inversion historically front-runs recession by 6-12 months but the lead time is variable. The April 2026 +52bp re-steepening has been in effect since October 2024; the historical analogue suggests the recession window opens through 2026 H2 but the timing is the swing factor. The 68% band on DGS10 should be treated as 30%+ wider than the historical bootstrap implies because of the term-premium regime change.
Frequently Asked Questions
What factors could push 10Y Treasury Yield higher?▾
The primary drivers that tend to lift 10Y 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 10Y Treasury Yield lower?▾
The same transmission channels that drive 10Y 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 10Y 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 10Y Treasury Yield?▾
Historical ranges for 10Y 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 10Y Treasury Yield chart page, which includes selectable time ranges up to five years and downloadable data.
How often is the 10Y 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.
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Forecasts are model-based projections derived from current regime classification, scenario probabilities, and historical patterns. They are not investment advice. All investments involve risk.