CONVEX
Last updated
▍ STATISTICAL PROJECTION · YEAR-END 2026

Based on current macro regime conditions and michigan inflation expectations's historical behaviour in similar regimes, the model projects 3.83% by 2026-12-31 ( +0.8% from 3.80% today). The 68% confidence range is 0.96% to 6.70%; the wider 95% range is -1.79% to 9.45%. Methodology below the headline.

Central Estimate
3.83%
+0.8% vs current 3.80%
68% Range (±1σ)
0.96% to 6.70%
95% Range (±1.96σ)
-1.79% to 9.45%
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 82.7% ANNUALIZED REALIZED VOL.
EXPECTED TO BE 3.83% BY 2026-12-31 (HIGHER FROM 3.80% ON 2026-03-01). NOT INVESTMENT ADVICE.
▍ MODEL · STATISTICAL FORECAST · 2026

Michigan Inflation Expectations Forecast 2026

Quantitative analysis from 298 observations of Michigan Inflation Expectations history, joined to four universal macro regime classifications. Numbers are computed, not narrated.

ByConvex Research Desk·Edited byBen Bleier·
MICH · LAST
3.80%
AS OF 2026-03-01
Percentile · 25Y History
81.2th

Performance by Window[02]

WINDOWNANN RETANN VOLRET/VOLHIT %TOTAL
1Y13-24.01%47.34%-0.5133.3%-24.00%
3Y36-7.03%48.30%-0.1542.9%-19.15%
5Y614.16%44.70%0.0941.7%22.58%
10Y1213.48%39.76%0.0940.0%40.74%
All2980.96%82.71%0.0138.7%26.67%

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
81.2th
0.40median 3.006.60
Current value 3.8000 on a 298-observation history going back to Nov 1, 2001.
Volatility Regime
elevated
49.73%REALIZED 30D ANN
Sits at the 81.7th percentile vs full history. Median 42.19%.

Forward Returns by Macro Regime[04]

How Michigan Inflation Expectations 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)650.55%-0.93%6.98%0.00%49.2%
Normal (15-25)901.98%1.92%6.72%0.00%49.4%
Elevated (25-40)327.60%20.50%26.97%0.00%46.9%
Extreme (>40)3n/an/an/an/an/a
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)27-0.88%-4.81%11.61%0.00%40.7%
Flat (0-100bps)620.90%2.12%10.81%3.12%51.8%
Steep (>100bps)1005.09%8.94%10.68%2.17%51.0%
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)242.08%5.12%32.88%12.00%78.9%
Normal (350-500bps)45-0.64%-0.75%1.32%-7.69%37.2%
Stressed (>500bps)181.66%-1.14%10.36%4.00%50.0%
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)343.06%3.23%3.43%2.17%50.0%
Neutral (middle)381.65%3.86%7.87%0.00%47.1%
Strong (top tercile)77-0.10%-1.16%7.65%-3.57%45.3%

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 Michigan Inflation Expectations; negative means it lags.

ANCHORROLEPEAK LAGPEAK CORRZERO-LAGRELATIONSHIP
Initial Jobless ClaimsLabor leader+1d0.407-0.050coincident
HY OAS SpreadCredit risk leader+58d0.3570.011leads target by 58d
CopperGlobal growth proxy-53d0.3000.213lags target by 53d
10Y-2Y Yield SpreadRecession leader-51d-0.2690.063lags target by 51d
NFCIFinancial conditions+12d-0.217-0.004leads target by 12d
Trade-Weighted DollarFX driver+30d0.200-0.187leads target by 30d
U-Mich Consumer SentimentSurvey leader+28d0.161-0.095leads target by 28d
Baa-10Y SpreadCredit risk (slow)+41d-0.156-0.117leads target by 41d
VIXVolatility leader-7d0.148-0.084weak
10Y Treasury YieldDiscount-rate driver-20d0.1370.096weak

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 Michigan Inflation Expectations 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
Aug 1, 20233.5000-8.57%-11.43%-20.00%
Mar 1, 20233.600030.56%-5.56%-19.44%
Feb 1, 20213.3000-6.06%27.27%48.48%
Aug 1, 20113.5000-5.71%-11.43%2.86%
Feb 1, 20113.400035.29%11.76%-2.94%

Worst Historical Drawdown[07]

-86.67%PEAK-TO-TROUGH
Peak Jun 1, 2001 → trough Nov 1, 2001. Recovered to prior peak on Mar 1, 2003 (485 days).
All-time high: 6.6000 on May 1, 2025 · Current DD from ATH: -42.42%

Largest Single-Period Moves[09]

▲ Up
  • Dec 1, 2001350.00%
  • May 1, 202052.38%
  • Aug 1, 200347.06%
  • Apr 1, 200940.00%
  • Sep 1, 200538.71%
▼ Down
  • Oct 1, 2001-64.29%
  • Nov 1, 2001-60.00%
  • Dec 1, 2008-41.38%
  • Dec 1, 2023-31.11%
  • Nov 1, 2005-28.26%

Calendar-Month Seasonality[10]

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

MONTHAVG RETURNHIT %N
January4.23%56.0%25
February2.05%40.0%25
March6.17%56.0%25
April4.81%54.2%24
May4.28%54.2%24
June-3.80%25.0%24
July-2.73%24.0%25
August2.69%44.0%25
September-2.82%24.0%25
October-0.33%32.0%25
November-4.32%28.0%25
December9.22%28.0%25

N = 298 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.

Consensus source: Cleveland Fed nowcast and breakeven inflation

Key Drivers & Risks

  • Energy prices
  • Shelter costs
  • Wage growth
  • Supply chains
  • Monetary policy

Historical Volatility

Low-moderate: 1-3% annual range under normal conditions

How Michigan Inflation Expectations Forecasts Have Held Up Historically

University of Michigan year-ahead inflation expectations have a poor track record as a forecasting input because the survey reflects what consumers feel, not what economists model. The April 2026 reading at 4.7% is the highest since 1981, materially above market-implied breakevens (T5YIE 2.58%, T10YIE 2.40%).

Regime-conditional models on MICH achieve approximately 55% directional accuracy. Consumer expectations are noisy month-to-month and politically polarized in 2024-2026; the methodology has been criticized for over-weighting partisan response patterns.

Regime Sensitivity for MICH

Michigan inflation expectations are heavily influenced by gas prices, headline CPI prints, and political polarization. Goldilocks regimes anchor MICH near 2.5-3.5%; stagflation pushes it above 4%; deflation pulls it below 2%.

The April 2026 setup has MICH at 4.7%, the highest since 1981, with Republicans expecting roughly 1.5% inflation and Democrats expecting roughly 6%. The mean reading is dominated by partisan-driven Democrat expectations after the November 2024 election. The regime conditional reads as elevated but with an asterisk: the level reflects political response patterns more than economic forecasting accuracy.

What Drives MICH Forecast Errors

Three structural issues drive MICH forecast errors. First, partisan response patterns dominate post-2016. Republicans report higher inflation when Democrats hold the White House; Democrats report higher inflation when Republicans hold the White House. The 2024 election flip means the cohort driving the high prints changed in November.

Second, gas prices dominate consumer perception. WTI at $95.85 (Iran premium) keeps gas prices visible at the pump; consumers anchor on what they see weekly rather than what the BLS reports monthly.

Third, methodology revisions in late 2024 (small-sample online survey changes) introduced level-shifts that haven't fully normalized in time-series analysis.

How to Use This Forecast in Practice

For Michigan inflation expectations, the most-actionable signal is the spread to market-implied breakevens. The current 230bp gap (MICH 4.7% - T10YIE 2.40%) reflects retail-versus-market divergence that historically resolves toward market pricing within 12-18 months.

The cleanest cross-check is the New York Fed Survey of Consumer Expectations (a more methodologically rigorous alternative). When NY Fed and Michigan agree, the consumer-expectations regime is high-conviction; when they diverge, weight the NY Fed signal. The 68% band on MICH should be treated as 40%+ wider than the historical bootstrap because of the partisan polarization regime change.

Frequently Asked Questions

What factors could push Michigan Inflation Expectations higher?

The primary drivers that tend to lift Michigan Inflation Expectations depend on the current macro regime. Inflation erodes purchasing power and forces central banks to tighten, squeezing equity multiples and increasing credit stress. Breakeven rates reveal what the bond market expects for future inflation, while CPI and PCE measure what consumers actually experience. Divergences between market expectations and realized prints create some of the highest-impact trading events of the year. Convex tracks these drivers live across the Inflation 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 Michigan Inflation Expectations lower?

The same transmission channels that drive Michigan Inflation Expectations 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 Michigan Inflation Expectations 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 Michigan Inflation Expectations?

Historical ranges for Michigan Inflation Expectations 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 Michigan Inflation Expectations chart page, which includes selectable time ranges up to five years and downloadable data.

How often is the Michigan Inflation Expectations 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.

ShareXRedditLinkedInHN

Get forecast updates for Michigan Inflation Expectations 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.