CONVEX
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▍ STATISTICAL PROJECTION · YEAR-END 2026

Based on current macro regime conditions and ppi final demand's historical behaviour in similar regimes, the model projects 159.73 by 2026-12-31 ( +2.1% from 156.5 today). The 68% confidence range is 158.01 to 161.45; the wider 95% range is 156.35 to 163.1. Methodology below the headline.

Central Estimate
159.73
+2.1% vs current 156.5
68% Range (±1σ)
158.01 to 161.45
95% Range (±1.96σ)
156.35 to 163.1
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 189-DAY HORIZON. BAND = ±σ√T USING 1.3% ANNUALIZED REALIZED VOL.
EXPECTED TO BE 159.73 BY 2026-12-31 (HIGHER FROM 156.5 ON 2026-04-01). NOT INVESTMENT ADVICE.
▍ MODEL · STATISTICAL FORECAST · 2026

PPI Final Demand Forecast 2026

Quantitative analysis from 198 observations of PPI Final Demand history, joined to four universal macro regime classifications. Numbers are computed, not narrated.

ByConvex Research Desk·Edited byBen Bleier·
PPIFIS · LAST
156.5
AS OF 2026-04-01
Percentile · 25Y History
99.5th

Performance by Window[02]

WINDOWNANN RETANN VOLRET/VOLHIT %TOTAL
1Y135.99%1.36%4.4191.7%5.99%
3Y363.73%1.19%3.1585.7%11.29%
5Y614.77%1.51%3.1681.7%26.21%
10Y1213.60%1.39%2.5880.0%42.40%
All1982.75%1.27%2.1774.6%56.18%

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
99.5th
100.20median 115.10156.50
Current value 156.4960 on a 198-observation history going back to Nov 1, 2009.
Volatility Regime
normal
0.96%REALIZED 30D ANN
Sits at the 53.0th percentile vs full history. Median 0.95%.

Historical Analogs[06]

Periods where PPI Final Demand 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
Mar 1, 2025148.0550-0.27%1.04%4.27%
Dec 1, 2024147.05200.63%0.41%3.09%
Sep 1, 2024145.80300.34%1.49%3.05%
Jun 1, 2024144.86900.04%0.98%2.43%
Mar 1, 2024143.52100.47%0.98%3.16%

Worst Historical Drawdown[07]

-2.18%PEAK-TO-TROUGH
Peak Jan 1, 2020 → trough Apr 1, 2020. Recovered to prior peak on Oct 1, 2020 (183 days).
All-time high: 156.4960 on Apr 1, 2026 · Current DD from ATH: 0.00%

Largest Single-Period Moves[09]

▲ Up
  • Mar 1, 20221.68%
  • Apr 1, 20261.38%
  • Nov 1, 20211.10%
  • May 1, 20211.05%
  • Jul 1, 20211.02%
▼ Down
  • Apr 1, 2020-1.19%
  • Jan 1, 2015-0.63%
  • Mar 1, 2020-0.51%
  • Feb 1, 2020-0.50%
  • Feb 1, 2015-0.45%

Calendar-Month Seasonality[10]

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

MONTHAVG RETURNHIT %N
January0.39%88.2%17
February0.18%64.7%17
March0.26%70.6%17
April0.24%76.5%17
May0.25%75.0%16
June0.22%75.0%16
July0.25%81.3%16
August0.17%68.8%16
September0.22%75.0%16
October0.22%81.3%16
November0.20%81.3%16
December0.12%58.8%17

N = 198 OBS · GENERATED 2026-05-18 09:00Z

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

Frequently Asked Questions

What factors could push PPI Final Demand higher?

The primary drivers that tend to lift PPI Final Demand 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 PPI Final Demand lower?

The same transmission channels that drive PPI Final Demand 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 PPI Final Demand 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 PPI Final Demand?

Historical ranges for PPI Final Demand 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 PPI Final Demand chart page, which includes selectable time ranges up to five years and downloadable data.

How often is the PPI Final Demand 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.