CONVEX
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▍ STATISTICAL PROJECTION · YEAR-END 2026

Based on current macro regime conditions and ig credit (lqd)'s historical behaviour in similar regimes, the model projects $107 by 2026-12-31 ( -0.7% from $108 today). The 68% confidence range is $100 to $114; the wider 95% range is $93.17 to $121. Methodology below the headline.

Central Estimate
$107
-0.7% vs current $108
68% Range (±1σ)
$100 to $114
95% Range (±1.96σ)
$93.17 to $121
Blended from 4 regime anchors· sample-weighted
VIX · Normal (15-25)
-0.6%n=2,841 · w=41%
10Y-2Y Yield Curve · Flat (0-100bps)
-0.3%n=2,123 · w=31%
HY OAS Spread · Tight (<350bps)
-4.3%n=922 · w=13%
Trade-Weighted Dollar · Weak (bottom tercile)
-1.6%n=990 · w=14%
METHOD: CENTRAL = SAMPLE-WEIGHTED MEAN OF PER-ANCHOR CURRENT-REGIME 1Y AVERAGES, SCALED TO 156-DAY HORIZON. BAND = ±σ√T USING 8.4% ANNUALIZED REALIZED VOL.
EXPECTED TO BE $107 BY 2026-12-31 (LOWER FROM $108 ON 2026-05-18). NOT INVESTMENT ADVICE.
▍ MODEL · STATISTICAL FORECAST · 2026

IG Credit (LQD) Forecast 2026

Quantitative analysis from 6,000 observations of IG Credit (LQD) history, joined to four universal macro regime classifications. Numbers are computed, not narrated.

ByConvex Research Desk·Edited byBen Bleier·
LQD · LAST
$107.98
AS OF 2026-05-18
Percentile · 25Y History
28.3th
▍ HEADLINE SIGNAL · CONTRARIAN BEARISH
Hist. Avg +252d
-4.3%
vs +0.3% unconditional · -4.5%pp below
When HY OAS Spread sits in its Tight (<350bps) regime — as it does today (2.76) — IG Credit (LQD) has historically returned an average of -4.26% over the next 252 trading days, 4.5pp below the all-history average of +0.26%. Sample: 922 observations, 47.2% hit rate.
METHOD: PERCENTILE-RANK MATCHED, LOOK-AHEAD-BIAS-FREE·NOT A FORECAST·HISTORICAL CONDITIONAL AVERAGE

Regime Scan[01/04]

VIX
Normal (15-25)
-0.6%+1Y AVG
Δ -0.9%pp · n=2,841
10Y-2Y Yield Curve
Flat (0-100bps)
-0.3%+1Y AVG
Δ -0.5%pp · n=2,123
HY OAS Spread
Tight (<350bps)
-4.3%+1Y AVG
Δ -4.5%pp · n=922
Trade-Weighted Dollar
Weak (bottom tercile)
-1.6%+1Y AVG
Δ -1.9%pp · n=990

Δ = divergence from +0.3% unconditional all-history average

Performance by Window[02]

WINDOWNANN RETANN VOLRET/VOLHIT %TOTAL
1Y2620.70%5.53%0.1349.0%0.70%
3Y7630.35%7.41%0.0549.9%1.05%
5Y1,268-3.80%8.62%-0.4449.3%-17.60%
10Y2,526-1.03%8.70%-0.1251.1%-9.80%
All6,0000.26%8.43%0.0352.1%6.40%

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]

Percentile Rank
28.3th
81.70median 111.71139.15
Current value 107.8600 on a 6,000-observation history going back to Oct 10, 2008.
Volatility Regime
low
4.26%REALIZED 30D ANN
Sits at the 17.2th percentile vs full history. Median 5.66%.

Forward Returns by Macro Regime[04]

How IG Credit (LQD) has performed historically conditional on the prevailing macro regime. The current bucket is highlighted; +1Y averages drive the headline signal above.

VIX
Volatility regime: Low (<15), Normal (15-25), Elevated (25-40), Extreme (>40)
CURRENT: 17.26 Normal (15-25)
REGIME BUCKETN+30D+90D+1Y AVG+1Y MEDHIT %
Low (<15)2,094-0.12%-0.40%0.02%-0.82%42.4%
Normal (15-25)2,841-0.20%-0.09%-0.64%0.80%55.8%
Elevated (25-40)8630.76%1.19%1.51%2.45%64.2%
Extreme (>40)1872.82%5.22%10.21%8.48%97.3%
10Y-2Y Yield Curve
Yield curve regime: Inverted (<0bps), Flat (0-100bps), Steep (>100bps)
CURRENT: 0.50 Flat (0-100bps)
REGIME BUCKETN+30D+90D+1Y AVG+1Y MEDHIT %
Inverted (<0bps)780-0.01%0.18%0.05%-0.34%44.1%
Flat (0-100bps)2,123-0.17%-0.54%-0.27%-0.76%44.5%
Steep (>100bps)3,0390.23%0.61%0.65%2.03%61.6%
HY OAS Spread
Credit regime: Tight (<350bps), Normal (350-500bps), Stressed (>500bps)
CURRENT: 2.76 Tight (<350bps)
REGIME BUCKETN+30D+90D+1Y AVG+1Y MEDHIT %
Tight (<350bps)922-0.39%-1.27%-4.26%-0.38%47.2%
Normal (350-500bps)1,379-0.27%-0.12%1.02%0.20%51.4%
Stressed (>500bps)5550.93%1.15%1.07%0.19%52.4%
Trade-Weighted Dollar
Dollar regime: bottom/middle/top tercile of trailing 5Y rolling distribution
CURRENT: 118.04 Weak (bottom tercile)
REGIME BUCKETN+30D+90D+1Y AVG+1Y MEDHIT %
Weak (bottom tercile)990-0.59%-0.98%-1.63%-1.12%45.8%
Neutral (middle)1,2280.04%-0.37%-1.71%-0.80%47.9%
Strong (top tercile)2,5950.30%0.78%2.12%1.18%60.3%

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 (LQD); negative means it lags.

ANCHORROLEPEAK LAGPEAK CORRZERO-LAGRELATIONSHIP
10Y Treasury YieldDiscount-rate driver0d-0.501-0.501coincident
Initial Jobless ClaimsLabor leader0d0.2630.263coincident
HY OAS SpreadCredit risk leader-1d-0.184-0.004coincident
Trade-Weighted DollarFX driver0d-0.167-0.167coincident
Baa-10Y SpreadCredit risk (slow)-1d-0.1150.064weak
VIXVolatility leader0d-0.097-0.097weak
10Y-2Y Yield SpreadRecession leader0d-0.083-0.083weak
CopperGlobal growth proxy-9d0.0590.039weak
NFCIFinancial conditions+15d0.037-0.009weak
U-Mich Consumer SentimentSurvey leader0d0.0000.000weak

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 (LQD) 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.

DATEVALUE+30D+90D+1Y
May 16, 2025107.10002.09%3.70%1.53%
Feb 14, 2025107.99000.65%1.11%3.33%
Nov 15, 2024108.2600-1.31%0.40%1.96%
Jul 25, 2024108.01004.00%2.16%1.37%
Apr 9, 2024107.5700-0.23%3.37%-2.16%

Worst Historical Drawdown[07]

-30.46%PEAK-TO-TROUGH
Peak Jun 13, 2003 → trough Oct 10, 2008. Recovered to prior peak on Feb 28, 2012 (1,236 days).
All-time high: 139.1500 on Aug 6, 2020 · Current DD from ATH: -22.49%

Cross-Asset Correlations · 1Y[08]

S&P 500
0.398
n=260
Nasdaq 100
0.325
n=260
20Y Treasury
0.892
n=260
Gold
0.050
n=260
Bitcoin
0.120
n=260

Largest Single-Period Moves[09]

▲ Up
  • Sep 30, 20089.77%
  • Mar 23, 20207.39%
  • Oct 13, 20085.51%
  • Mar 25, 20204.79%
  • Apr 9, 20204.70%
▼ Down
  • Sep 29, 2008-9.11%
  • Sep 16, 2008-6.35%
  • Oct 10, 2008-5.51%
  • Mar 18, 2020-5.00%
  • Mar 19, 2020-4.94%

Calendar-Month Seasonality[10]

Average single-period return aggregated by the calendar month in which the period ended.

MONTHAVG RETURNHIT %N
January0.03%52.6%485
February-0.02%51.5%460
March-0.02%49.3%525
April0.00%53.9%503
May0.00%51.7%503
June0.01%50.2%488
July0.04%55.9%487
August0.02%55.7%531
September-0.03%49.7%491
October-0.02%48.1%530
November0.03%55.0%489
December0.01%52.3%507

N = 6,000 OBS · GENERATED 2026-05-17 17:30Z

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

Scenarios That Affect This Forecast

How LQD Forecasts Have Held Up Historically

Investment-grade corporate forecasts have a better track record than HYG forecasts on direction 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 HYG's 200bp+ miss.

LQD's longer duration (8.5 years vs 3.5 years for HYG) means the fund's calendar return is dominated by rates, not credit losses. Calendar returns range from +18% in 2009 (post-GFC spread compression plus rate rally) to -17.9% in 2022 (the rate shock). Regime-conditional models capture the rate leg cleanly but under-weight the spread leg in stress.

Regime Sensitivity for LQD

LQD has dual regime sensitivity: to long-end yields (TLT-like) and to IG OAS (HYG-correlated but lower beta). Goldilocks regimes (low VIX, tight credit, weak DXY) map to forward 252-day LQD returns averaging +6%; stagflation maps to -5%; reflation near +2%; deflation near +9% (the rates leg dominates).

In April 2026, the 10Y at 4.31% and IG OAS near 90-95bp put LQD in a benign credit regime but exposed to any duration shock. The fund's longer duration than HYG means LQD lost more in the 2022 hiking cycle than HYG did despite HYG having far worse credit. The regime conditional reads as moderately constructive on the credit leg, with rate-shock risk dominating the downside band.

What Drives LQD Forecast Errors

Three structural issues drive LQD forecast errors. First, IG default rates are extremely low (under 0.2% per year on average), so OAS reflects mark-to-market dealer positioning and flows more than fundamental loss expectations. The model treats OAS as a credit signal but it is at least half a liquidity signal in normal regimes.

Second, 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. Regime models that look at IG OAS alone miss the cross-spread context.

Third, structural demand from pension funds, insurance companies, and foreign reserve managers anchors LQD in a way that HYG is not anchored. This price-insensitive bid compresses realized vol versus the bootstrap distribution in normal regimes but withdraws sharply in stress, producing fatter tails than the regime model implies.

How to Use This Forecast in Practice

For LQD, treat the regime forecast as a duration-plus-credit blend and decompose accordingly. The duration leg moves with TLT; the credit leg moves with HYG. When both legs point in the same direction, the regime read is high-conviction; when they diverge (rates rallying while credit widens), the LQD signal is mixed and position size should be scaled down.

The cleanest single risk to LQD is the same risk as TLT: an inflation re-acceleration that lifts the 10Y above 5%. The 68% band on LQD should be treated as roughly half of TLT's band on the rate side and roughly one-third of HYG's band on the credit side, because LQD is the duration-credit blend rather than either leg alone.

Frequently Asked Questions

What factors could push IG Credit (LQD) higher?

The primary drivers that tend to lift IG Credit (LQD) 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 (LQD) lower?

The same transmission channels that drive IG Credit (LQD) 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 (LQD) 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 (LQD)?

Historical ranges for IG Credit (LQD) 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 (LQD) chart page, which includes selectable time ranges up to five years and downloadable data.

How often is the IG Credit (LQD) 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.