CONVEX
Last updated
▍ STATISTICAL PROJECTION · YEAR-END 2026
Central Estimate
21,411.99
+10.2% vs current 19,436.3
68% Range (±1σ)
12,982.75 to 29,841.23
95% Range (±1.96σ)
4,890.68 to 37,933.3
Central estimate uses the unconditional 25-year historical average because current regime buckets had insufficient observations to produce a reliable blend.
METHOD: CENTRAL = SAMPLE-WEIGHTED MEAN OF PER-ANCHOR CURRENT-REGIME 1Y AVERAGES, SCALED TO 210-DAY HORIZON. BAND = ±σ√T USING 47.5% ANNUALIZED REALIZED VOL.
EXPECTED TO BE 21,411.99 BY 2026-12-31 (HIGHER FROM 19,436.3 ON 2026-03-01). NOT INVESTMENT ADVICE.
▍ MODEL · STATISTICAL FORECAST · 2026

M1 Money Stock Forecast 2026

Quantitative analysis from 298 observations of M1 Money Stock history, joined to four universal macro regime classifications. Numbers are computed, not narrated.

ByConvex Research Desk·Edited byBen Bleier·
M1SL · LAST
19,436.3
AS OF 2026-03-01
Percentile · 25Y History
93.3th

Performance by Window[02]

WINDOWNANN RETANN VOLRET/VOLHIT %TOTAL
1Y134.75%0.78%6.05100.0%4.75%
3Y361.43%1.34%1.0771.4%4.23%
5Y610.82%2.50%0.3361.7%4.17%
10Y12119.80%74.61%0.2769.2%508.60%
All29812.20%47.51%0.2673.7%1625.83%

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
93.3th
1126.20median 2652.4020749.80
Current value 19436.3000 on a 298-observation history going back to Jun 1, 2001.
Volatility Regime
very low
1.04%REALIZED 30D ANN
Sits at the 0.4th percentile vs full history. Median 3.02%.

Forward Returns by Macro Regime[04]

How M1 Money Stock 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: 16.89 Normal (15-25)
REGIME BUCKETN+30D+90D+1Y AVG+1Y MEDHIT %
Low (<15)650.27%1.32%19.58%3.67%83.1%
Normal (15-25)900.57%2.30%14.98%6.84%89.2%
Elevated (25-40)320.63%2.36%6.69%7.79%81.3%
Extreme (>40)3n/an/an/an/an/a
10Y-2Y Yield Curve
Yield curve regime: Inverted (<0bps), Flat (0-100bps), Steep (>100bps)
CURRENT: 0.51 Flat (0-100bps)
REGIME BUCKETN+30D+90D+1Y AVG+1Y MEDHIT %
Inverted (<0bps)27-0.27%-1.01%-1.44%0.07%55.6%
Flat (0-100bps)624.17%5.68%39.43%4.16%78.6%
Steep (>100bps)1000.72%2.97%8.62%8.19%98.0%
HY OAS Spread
Credit regime: Tight (<350bps), Normal (350-500bps), Stressed (>500bps)
CURRENT: 2.83 Tight (<350bps)
REGIME BUCKETN+30D+90D+1Y AVG+1Y MEDHIT %
Tight (<350bps)240.43%1.71%3.04%3.66%89.5%
Normal (350-500bps)450.26%0.96%41.76%4.06%72.1%
Stressed (>500bps)1813.69%16.36%23.93%8.95%88.9%
Trade-Weighted Dollar
Dollar regime: bottom/middle/top tercile of trailing 5Y rolling distribution
CURRENT: 118.73 Weak (bottom tercile)
REGIME BUCKETN+30D+90D+1Y AVG+1Y MEDHIT %
Weak (bottom tercile)340.80%3.83%11.45%12.70%100.0%
Neutral (middle)380.61%2.51%7.96%9.28%94.1%
Strong (top tercile)773.40%4.74%30.56%6.21%81.3%

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 M1 Money Stock; negative means it lags.

ANCHORROLEPEAK LAGPEAK CORRZERO-LAGRELATIONSHIP
Initial Jobless ClaimsLabor leader+1d0.9960.028coincident
HY OAS SpreadCredit risk leader+1d0.576-0.081coincident
10Y-2Y Yield SpreadRecession leader-27d-0.4970.010lags target by 27d
Baa-10Y SpreadCredit risk (slow)+1d0.489-0.102coincident
VIXVolatility leader+56d0.410-0.073leads target by 56d
10Y Treasury YieldDiscount-rate driver+1d-0.268-0.011coincident
U-Mich Consumer SentimentSurvey leader+1d-0.204-0.003coincident
Trade-Weighted DollarFX driver+1d0.204-0.008coincident
CopperGlobal growth proxy+41d0.1450.031weak
NFCIFinancial conditions+44d0.019-0.006weak

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 M1 Money Stock 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
Feb 1, 202518511.30000.24%1.27%4.73%
Nov 1, 202418354.90000.20%1.09%3.61%
Sep 1, 202318158.3000-0.49%-0.87%0.04%
Jun 1, 202318454.8000-0.47%-2.09%-2.23%
Mar 1, 202318995.0000-1.83%-3.30%-4.99%

Worst Historical Drawdown[07]

-13.35%PEAK-TO-TROUGH
Peak Mar 1, 2022 → trough Dec 1, 2023. Has not yet recovered to prior peak.
All-time high: 20749.8000 on Mar 1, 2022 · Current DD from ATH: -6.33%

Largest Single-Period Moves[09]

▲ Up
  • May 1, 2020235.90%
  • Apr 1, 202012.34%
  • Mar 1, 20207.40%
  • Aug 1, 20115.98%
  • Dec 1, 20085.75%
▼ Down
  • Oct 1, 2001-3.32%
  • Mar 1, 2023-2.27%
  • Apr 1, 2023-1.83%
  • Aug 1, 2014-1.76%
  • Jan 1, 2009-1.18%

Calendar-Month Seasonality[10]

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

MONTHAVG RETURNHIT %N
January0.40%76.0%25
February0.39%64.0%25
March0.71%84.0%25
April0.80%62.5%24
May10.28%79.2%24
June0.52%75.0%24
July0.45%68.0%25
August0.52%64.0%25
September0.77%80.0%25
October0.33%76.0%25
November0.65%80.0%25
December0.73%76.0%25

N = 298 OBS · GENERATED 2026-05-03 05:01Z

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 M1 Money Stock higher?

The primary drivers that tend to lift M1 Money Stock depend on the current macro regime. M1: currency in circulation plus demand deposits and other liquid deposits, the narrowest operational money aggregate. Convex tracks these drivers live across the Money Supply 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 M1 Money Stock lower?

The same transmission channels that drive M1 Money Stock 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 M1 Money Stock 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 M1 Money Stock?

Historical ranges for M1 Money Stock 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 M1 Money Stock chart page, which includes selectable time ranges up to five years and downloadable data.

How often is the M1 Money Stock 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.