Based on current macro regime conditions and ig credit spread (oas)'s historical behaviour in similar regimes, the model projects 79 bps by 2026-12-31 ( +4.1% from 76 bps today). The 68% confidence range is 65 bps to 93 bps; the wider 95% range is 51 bps to 107 bps. Methodology below the headline.
IG Credit Spread (OAS) Forecast 2026
Quantitative analysis from 2,969 observations of IG Credit Spread (OAS) history, joined to four universal macro regime classifications. Numbers are computed, not narrated.
Regime Scan[01/04]
Δ = divergence from -5.5% unconditional all-history average
Performance by Window[02]
| WINDOW | N | ANN RET | ANN VOL | RET/VOL | HIT % | TOTAL |
|---|---|---|---|---|---|---|
| 1Y | 265 | -18.29% | 23.17% | -0.79 | 29.5% | -18.28% |
| 3Y | 786 | -20.11% | 22.84% | -0.88 | 26.5% | -48.99% |
| 5Y | 1,308 | -3.75% | 23.39% | -0.16 | 29.2% | -17.39% |
| 10Y | 2,613 | -6.94% | 24.46% | -0.28 | 26.3% | -51.28% |
| All | 2,969 | -5.53% | 23.42% | -0.24 | 27.2% | -47.59% |
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 IG Credit Spread (OAS) 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) | 1,046 | 0.56% | 7.09% | 2.43% | 0.00% | 49.0% |
| Normal (15-25) | 1,444 | 1.88% | 0.10% | 3.34% | -8.11% | 40.6% |
| Elevated (25-40) | 355 | -3.01% | -9.76% | -19.94% | -23.01% | 13.3% |
| Extreme (>40) | 40 | -15.49% | -41.35% | -55.73% | -60.25% | 0.0% |
| REGIME BUCKET | N | +30D | +90D | +1Y AVG | +1Y MED | HIT % |
|---|---|---|---|---|---|---|
| Inverted (<0bps) | 543 | -2.03% | -8.37% | -18.65% | -19.79% | 9.0% |
| Flat (0-100bps) | 1,625 | 1.55% | 3.22% | -0.02% | -1.92% | 46.7% |
| Steep (>100bps) | 670 | 0.30% | 2.97% | 12.12% | 6.67% | 51.2% |
| REGIME BUCKET | N | +30D | +90D | +1Y AVG | +1Y MED | HIT % |
|---|---|---|---|---|---|---|
| Tight (<350bps) | 961 | 2.50% | 8.19% | 18.72% | 6.06% | 62.8% |
| Normal (350-500bps) | 1,431 | 1.58% | 2.13% | 0.15% | -4.76% | 42.3% |
| Stressed (>500bps) | 577 | -4.85% | -12.85% | -27.03% | -25.74% | 5.5% |
| REGIME BUCKET | N | +30D | +90D | +1Y AVG | +1Y MED | HIT % |
|---|---|---|---|---|---|---|
| Weak (bottom tercile) | 173 | 0.45% | -4.72% | 27.77% | 25.00% | 64.7% |
| Neutral (middle) | 557 | 0.87% | 6.68% | 29.53% | 27.12% | 84.5% |
| Strong (top tercile) | 2,087 | 0.51% | -0.30% | -7.96% | -15.23% | 30.4% |
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 IG Credit Spread (OAS); negative means it lags.
| ANCHOR | ROLE | PEAK LAG | PEAK CORR | ZERO-LAG | RELATIONSHIP |
|---|---|---|---|---|---|
| HY OAS Spread | Credit risk leader | 0d | 0.735 | 0.735 | coincident |
| Baa-10Y Spread | Credit risk (slow) | 0d | 0.616 | 0.616 | coincident |
| Initial Jobless Claims | Labor leader | -10d | 0.340 | 0.046 | lags target by 10d |
| 10Y Treasury Yield | Discount-rate driver | 0d | -0.322 | -0.322 | coincident |
| VIX | Volatility leader | 0d | 0.313 | 0.313 | coincident |
| NFCI | Financial conditions | -9d | 0.294 | 0.145 | lags target by 9d |
| Trade-Weighted Dollar | FX driver | 0d | 0.239 | 0.239 | coincident |
| Copper | Global growth proxy | 0d | -0.213 | -0.213 | coincident |
| 10Y-2Y Yield Spread | Recession leader | -13d | -0.056 | 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 IG Credit Spread (OAS) 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 7, 2025 | 0.8900 | 25.84% | -6.74% | -10.11% |
| Dec 6, 2024 | 0.8100 | 0.00% | 39.51% | 1.23% |
| Jul 16, 2024 | 0.9200 | 4.35% | -13.04% | -13.04% |
| Apr 15, 2024 | 0.9200 | -3.26% | 6.52% | 4.35% |
| Nov 15, 2021 | 0.9100 | 7.69% | 43.96% | 78.02% |
Worst Historical Drawdown[07]
Cross-Asset Correlations · 1Y[08]
Largest Single-Period Moves[09]
- Mar 9, 202026.17%
- Mar 19, 202015.84%
- Mar 12, 202013.27%
- Mar 18, 202011.40%
- Mar 16, 202011.35%
- Apr 9, 2020-7.77%
- Mar 25, 2020-7.33%
- Jun 16, 2020-7.06%
- Mar 21, 2023-6.17%
- Apr 30, 2020-6.06%
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% | 29.6% | 257 |
| February | 0.15% | 29.7% | 246 |
| March | 0.42% | 36.5% | 266 |
| April | -0.19% | 24.5% | 253 |
| May | -0.08% | 27.7% | 256 |
| June | -0.02% | 27.6% | 239 |
| July | -0.21% | 22.0% | 246 |
| August | 0.07% | 30.4% | 247 |
| September | -0.01% | 22.6% | 239 |
| October | -0.05% | 24.8% | 246 |
| November | -0.12% | 26.9% | 238 |
| December | -0.12% | 23.0% | 235 |
N = 2,969 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.
Key Drivers & Risks
- •Default rates
- •Monetary policy
- •Economic growth
- •Risk appetite
- •Leverage levels
Historical Volatility
Asymmetric: tight in calm, explosive in stress
How IG OAS Forecasts Have Held Up Historically
Investment-grade credit spread (BAMLC0A0CM) forecasts have a better track record than HY OAS forecasts because IG OAS moves slower and is dominated by rates plus a credit overlay rather than fundamental default risk. Consensus IG OAS forecasts have missed the realized peak by 100-150bp in stress cycles, materially less than HY's 200bp+ miss.
Regime-conditional models on IG OAS achieve approximately 68% directional accuracy on monthly windows. IG OAS reflects mark-to-market dealer positioning and flows more than fundamental loss expectations because IG default rates are extremely low (under 0.2% per year on average).
Regime Sensitivity for IG OAS
IG OAS is the high-quality-credit regime variable. Below 90bp signals tight credit-Goldilocks; 90-130bp normal; 130-180bp moderate stress; above 180bp recession-stress or crisis-stress.
The April 2026 setup has IG OAS near 90-95bp, tight by historical standards and consistent with credit-Goldilocks. The IG-HY spread differential at roughly 190bp (HY at 284bp minus IG at 95bp) is at the tight end of the post-2009 range, suggesting credit complacency at both ends.
What Drives IG OAS Forecast Errors
Three structural issues drive IG OAS forecast errors. First, IG OAS reflects liquidity premia and dealer positioning more than fundamental credit losses. The model treats OAS as a credit signal but it is at least half a liquidity signal in normal regimes.
Second, the IG market has structural demand from pension funds, insurance companies, and foreign reserve managers that anchors LQD and IG OAS in normal regimes but withdraws sharply in stress, producing fatter tails than the regime model implies.
Third, BBB-versus-A composition has shifted toward more BBB through 2010-2024 as issuers leveraged up while maintaining IG ratings. The current BBB-heavy IG index has higher fallen-angel risk than historical IG composition.
How to Use This Forecast in Practice
For IG OAS, the level captures the credit-regime label. Sub-90bp signals complacency; 90-130bp normal; widening above 130bp flags stress.
The cleanest cross-check is the IG-HY ratio (HY OAS / IG OAS). The current ratio of roughly 3x is at the low end of the post-2009 range, suggesting HY pricing has compressed faster than IG; sustained ratio compression below 2.5x has historically preceded either rate-driven or credit-driven corrections. The 68% band on IG OAS is roughly 50% of HY OAS's because of the higher credit quality and tighter range.
Frequently Asked Questions
What factors could push IG Credit Spread (OAS) higher?▾
The primary drivers that tend to lift IG Credit Spread (OAS) depend on the current macro regime. Financial conditions indexes are the Fed's dashboard. The Chicago Fed's NFCI blends over 100 inputs spanning equity volatility, credit spreads, funding stress, and leverage. Real yields across the TIPS curve reveal the true cost of capital after inflation, while liquidity measures (reverse repo, TGA, reserves) show whether the system is flush or stressed. Together they form the transmission belt from policy rate to real economy. Convex tracks these drivers live across the Credit & Financial Stress 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 IG Credit Spread (OAS) lower?▾
The same transmission channels that drive IG Credit Spread (OAS) 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 IG Credit Spread (OAS) 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 IG Credit Spread (OAS)?▾
Historical ranges for IG Credit Spread (OAS) 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 IG Credit Spread (OAS) chart page, which includes selectable time ranges up to five years and downloadable data.
How often is the IG Credit Spread (OAS) 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 IG Credit Spread (OAS) 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.