CONVEX
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▍ STATISTICAL PROJECTION · YEAR-END 2026

Based on current macro regime conditions and primary dealer net positions — us treasuries's historical behaviour in similar regimes, the model projects 649,428.78 by 2026-12-31 ( +25.3% from 518,390 today). The 68% confidence range is 12.31 to 1,298,845.26; the wider 95% range is -623,427.5 to 1,922,285.07. Methodology below the headline.

Central Estimate
649,428.78
+25.3% vs current 518,390
68% Range (±1σ)
12.31 to 1,298,845.26
95% Range (±1.96σ)
-623,427.5 to 1,922,285.07
Blended from 3 regime anchors· sample-weighted
VIX · Normal (15-25)
+40.4%n=316 · w=38%
10Y-2Y Yield Curve · Flat (0-100bps)
+31.5%n=330 · w=39%
HY OAS Spread · Tight (<350bps)
+38.3%n=193 · w=23%
METHOD: CENTRAL = SAMPLE-WEIGHTED MEAN OF PER-ANCHOR CURRENT-REGIME 1Y AVERAGES, SCALED TO 175-DAY HORIZON. BAND = ±σ√T USING 150.3% ANNUALIZED REALIZED VOL.
EXPECTED TO BE 649,428.78 BY 2026-12-31 (HIGHER FROM 518,390 ON 2026-04-22). NOT INVESTMENT ADVICE.
▍ MODEL · STATISTICAL FORECAST · 2026

Primary Dealer Net Positions — US Treasuries Forecast 2026

Quantitative analysis from 682 observations of Primary Dealer Net Positions — US Treasuries history, joined to four universal macro regime classifications. Numbers are computed, not narrated.

ByConvex Research Desk·Edited byBen Bleier·
PD-NET-POS-TREASURIES · LAST
518,390
AS OF 2026-04-22
Percentile · 25Y History
98.7th
▍ HEADLINE SIGNAL · CONTRARIAN BULLISH
Hist. Avg +252d
+40.4%
vs +12.8% unconditional · +27.6%pp above
When VIX sits in its Normal (15-25) regime — as it does today (17.26) — Primary Dealer Net Positions — US Treasuries has historically returned an average of +40.37% over the next 252 trading days, 27.6pp above the all-history average of +12.77%. Sample: 316 observations, 68.1% hit rate.
METHOD: PERCENTILE-RANK MATCHED, LOOK-AHEAD-BIAS-FREE·NOT A FORECAST·HISTORICAL CONDITIONAL AVERAGE

Regime Scan[01/04]

VIX
Normal (15-25)
+40.4%+1Y AVG
Δ +27.6%pp · n=316
10Y-2Y Yield Curve
Flat (0-100bps)
+31.5%+1Y AVG
Δ +18.7%pp · n=330

Δ = divergence from +12.8% unconditional all-history average

Performance by Window[02]

WINDOWNANN RETANN VOLRET/VOLHIT %TOTAL
1Y5331.47%47.45%0.6657.7%31.35%
3Y15734.80%56.83%0.6153.8%144.22%
5Y26128.22%77.78%0.3653.8%245.08%
10Y52220.84%83.42%0.2552.6%562.23%
All68212.77%150.33%0.0852.4%379.93%

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
98.7th
7823.00median 149160.00557087.00
Current value 518390.0000 on a 682-observation history going back to Dec 31, 2014.
Volatility Regime
very low
43.93%REALIZED 30D ANN
Sits at the 1.8th percentile vs full history. Median 92.02%.

Forward Returns by Macro Regime[04]

How Primary Dealer Net Positions — US Treasuries 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)2773.38%13.16%32.95%21.42%72.9%
Normal (15-25)31610.95%15.37%40.37%26.19%68.1%
Elevated (25-40)730.80%7.45%18.87%15.18%59.2%
Extreme (>40)81.78%3.66%-39.63%-36.92%0.0%
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)1125.81%17.05%42.16%40.83%99.1%
Flat (0-100bps)3304.34%10.58%31.47%22.36%74.1%
Steep (>100bps)22910.30%15.79%32.19%-6.33%46.3%
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)1934.45%14.46%38.33%30.73%77.6%
Normal (350-500bps)2797.22%19.97%48.86%28.72%79.8%
Stressed (>500bps)11410.30%12.42%29.27%12.83%60.5%
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)36-3.11%-20.12%-35.79%-36.72%0.0%
Neutral (middle)1381.24%8.05%28.65%9.84%54.4%
Strong (top tercile)4948.72%16.54%38.11%25.55%75.0%

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 Primary Dealer Net Positions — US Treasuries; negative means it lags.

ANCHORROLEPEAK LAGPEAK CORRZERO-LAGRELATIONSHIP
VIXVolatility leader-34d-0.1210.060weak
Initial Jobless ClaimsLabor leader+49d-0.109-0.041weak
HY OAS SpreadCredit risk leader-34d-0.1000.041weak
10Y Treasury YieldDiscount-rate driver-34d0.099-0.093weak
Trade-Weighted DollarFX driver-35d-0.093-0.027weak
Baa-10Y SpreadCredit risk (slow)+38d0.0900.029weak
CopperGlobal growth proxy-36d-0.083-0.018weak
NFCIFinancial conditions+54d-0.053-0.022weak
10Y-2Y Yield SpreadRecession leader-30d0.050-0.017weak
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 Primary Dealer Net Positions — US Treasuries 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
Apr 16, 2025391786.00003.05%-16.91%39.59%
Jan 15, 2025357155.000027.49%13.04%31.97%
Oct 16, 2024280638.000026.81%62.24%41.25%
Jul 17, 2024318224.00003.62%11.84%7.37%
Apr 17, 2024314269.0000-1.09%4.92%24.67%

Worst Historical Drawdown[07]

-94.64%PEAK-TO-TROUGH
Peak Oct 16, 2013 → trough Dec 31, 2014. Recovered to prior peak on May 30, 2018 (1,246 days).
All-time high: 557087.0000 on Mar 25, 2026 · Current DD from ATH: -6.95%

Cross-Asset Correlations · 1Y[08]

S&P 500
0.091
n=47
Nasdaq 100
0.088
n=47
20Y Treasury
0.401
n=47
Gold
0.317
n=47
Bitcoin
0.022
n=47

Largest Single-Period Moves[09]

▲ Up
  • Jul 8, 2015136.58%
  • Oct 8, 2014112.60%
  • Apr 8, 2015112.23%
  • May 28, 2014108.12%
  • Jan 14, 2015102.64%
▼ Down
  • Dec 31, 2014-78.03%
  • Jul 1, 2015-69.17%
  • Jul 2, 2014-64.17%
  • Jun 17, 2015-53.66%
  • Apr 1, 2015-50.29%

Calendar-Month Seasonality[10]

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

MONTHAVG RETURNHIT %N
January4.93%55.2%58
February2.42%53.8%52
March-0.05%59.6%57
April2.23%49.2%59
May4.09%58.6%58
June2.31%54.5%55
July4.17%45.8%59
August3.29%57.9%57
September-1.95%40.0%55
October4.13%51.7%58
November3.42%55.4%56
December-2.70%47.4%57

N = 682 OBS · GENERATED 2026-05-17 21:31Z

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

  • Macro regime
  • Monetary policy
  • Risk appetite

Historical Volatility

Moderate

Frequently Asked Questions

What factors could push Primary Dealer Net Positions — US Treasuries higher?

The primary drivers that tend to lift Primary Dealer Net Positions — US Treasuries depend on the current macro regime. Aggregate net positions of primary dealers in US Treasury securities (bills + all coupon buckets + TIPS + FRN), USD millions, from NY Fed PD stats. Positive = net long dealer inventory. Convex tracks these drivers live across the Primary Dealer 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 Primary Dealer Net Positions — US Treasuries lower?

The same transmission channels that drive Primary Dealer Net Positions — US Treasuries 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 Primary Dealer Net Positions — US Treasuries 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 Primary Dealer Net Positions — US Treasuries?

Historical ranges for Primary Dealer Net Positions — US Treasuries 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 Primary Dealer Net Positions — US Treasuries chart page, which includes selectable time ranges up to five years and downloadable data.

How often is the Primary Dealer Net Positions — US Treasuries 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.