CONVEX
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▍ STATISTICAL PROJECTION · YEAR-END 2025

Based on current macro regime conditions and australia cpi index's historical behaviour in similar regimes, the model projects 134.22 by 2025-12-31 ( +2.7% from 130.67 today). The 68% confidence range is 132.81 to 135.64; the wider 95% range is 131.44 to 137.01. Methodology below the headline.

Central Estimate
134.22
+2.7% vs current 130.67
68% Range (±1σ)
132.81 to 135.64
95% Range (±1.96σ)
131.44 to 137.01
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 251-DAY HORIZON. BAND = ±σ√T USING 1.1% ANNUALIZED REALIZED VOL.
EXPECTED TO BE 134.22 BY 2025-12-31 (HIGHER FROM 130.67 ON 2025-01-01). NOT INVESTMENT ADVICE.
▍ MODEL · STATISTICAL FORECAST · 2026

Australia CPI Index Forecast 2026

Quantitative analysis from 95 observations of Australia CPI Index history, joined to four universal macro regime classifications. Numbers are computed, not narrated.

ByConvex Research Desk·Edited byBen Bleier·
AUSCPIALLQINMEI · LAST
130.67
AS OF 2025-01-01
Percentile · 25Y History
98.9th

Performance by Window[02]

WINDOWNANN RETANN VOLRET/VOLHIT %TOTAL
1Y41.82%0.83%2.20100.0%1.37%
3Y124.06%1.10%3.68100.0%11.58%
5Y204.45%1.11%4.02100.0%22.99%
10Y402.80%1.36%2.0692.3%30.88%
All952.73%1.09%2.5191.5%88.35%

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
98.9th
69.38median 95.47130.67
Current value 130.6710 on a 95-observation history going back to Jul 1, 2001.
Volatility Regime
extreme
1.51%REALIZED 30D ANN
Sits at the 95.4th percentile vs full history. Median 0.96%.

Historical Analogs[06]

Periods where Australia CPI Index 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
Jan 1, 2024127.60620.00%1.02%2.40%
Oct 1, 2023126.39890.00%0.96%2.42%
Jul 1, 2023125.65590.00%0.59%2.81%
Apr 1, 2023124.17000.00%1.20%3.81%
Jan 1, 2023123.14840.00%0.83%3.62%

Worst Historical Drawdown[07]

-1.89%PEAK-TO-TROUGH
Peak Jan 1, 2020 → trough Apr 1, 2020. Recovered to prior peak on Oct 1, 2020 (183 days).
All-time high: 130.6710 on Jan 1, 2025 · Current DD from ATH: 0.00%

Largest Single-Period Moves[09]

▲ Up
  • Jan 1, 20222.14%
  • Oct 1, 20221.87%
  • Jul 1, 20221.82%
  • Apr 1, 20221.78%
  • Apr 1, 20061.66%
▼ Down
  • Apr 1, 2020-1.89%
  • Oct 1, 2008-0.32%
  • Jan 1, 2016-0.18%
  • Oct 1, 2006-0.12%
  • Apr 1, 20030.00%

Calendar-Month Seasonality[10]

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

MONTHAVG RETURNHIT %N
January0.70%87.5%24
April0.62%91.3%23
July0.83%100.0%23
October0.56%87.5%24

N = 95 OBS · GENERATED 2026-05-18 12:30Z

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

  • Macro regime
  • Monetary policy
  • Risk appetite

Historical Volatility

Moderate

Frequently Asked Questions

What factors could push Australia CPI Index higher?

The primary drivers that tend to lift Australia CPI Index depend on the current macro regime. Asia Pacific macro diverges meaningfully from U.S. cycles. Japan's multi-decade disinflation, Korea's export-driven industrial cycle, and Australia's commodity-tilted economy each respond to different drivers. Monitoring the region alongside U.S. data reveals when a global story (the China credit cycle, the semiconductor cycle, global trade growth) is the real variable behind seemingly U.S.-centric moves. Convex tracks these drivers live across the Asia Pacific 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 Australia CPI Index lower?

The same transmission channels that drive Australia CPI Index 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 Australia CPI Index 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 Australia CPI Index?

Historical ranges for Australia CPI Index 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 Australia CPI Index chart page, which includes selectable time ranges up to five years and downloadable data.

How often is the Australia CPI Index 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.