CONVEX
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▍ STATISTICAL PROJECTION · YEAR-END 2025

Based on current macro regime conditions and household total assets's historical behaviour in similar regimes, the model projects 208,591,345.89 by 2025-12-31 ( +1.4% from 205,613,279 today). The 68% confidence range is 204,379,555.4 to 212,803,136.38; the wider 95% range is 200,336,236.53 to 216,846,455.25. Methodology below the headline.

Central Estimate
208,591,345.89
+1.4% vs current 205,613,279
68% Range (±1σ)
204,379,555.4 to 212,803,136.38
95% Range (±1.96σ)
200,336,236.53 to 216,846,455.25
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 63-DAY HORIZON. BAND = ±σ√T USING 4.1% ANNUALIZED REALIZED VOL.
EXPECTED TO BE 208,591,345.89 BY 2025-12-31 (HIGHER FROM 205,613,279 ON 2025-10-01). NOT INVESTMENT ADVICE.
▍ MODEL · STATISTICAL FORECAST · 2026

Household Total Assets Forecast 2026

Quantitative analysis from 98 observations of Household Total Assets history, joined to four universal macro regime classifications. Numbers are computed, not narrated.

ByConvex Research Desk·Edited byBen Bleier·
TABSHNO · LAST
205,613,279
AS OF 2025-10-01
Percentile · 25Y History
99.0th

Performance by Window[02]

WINDOWNANN RETANN VOLRET/VOLHIT %TOTAL
1Y57.96%3.89%2.0575.0%7.95%
3Y127.79%3.16%2.4681.8%22.91%
5Y216.83%4.24%1.6180.0%39.15%
10Y407.07%4.66%1.5284.6%94.72%
All985.79%4.10%1.4182.5%291.90%

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
99.0th
52465246.00median 94943665.00205613279.00
Current value 205613279.0000 on a 98-observation history going back to Jul 1, 2001.
Volatility Regime
extreme
5.39%REALIZED 30D ANN
Sits at the 98.5th percentile vs full history. Median 4.02%.

Historical Analogs[06]

Periods where Household Total Assets 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
Jul 1, 2024189742774.00000.00%0.38%7.09%
Apr 1, 2024185427328.00000.00%2.33%6.10%
Jan 1, 2024182257927.00000.00%1.74%4.04%
Oct 1, 2023176573638.00000.00%3.22%7.87%
Jul 1, 2023172262043.00000.00%2.50%10.15%

Worst Historical Drawdown[07]

-13.47%PEAK-TO-TROUGH
Peak Jul 1, 2007 → trough Jan 1, 2009. Recovered to prior peak on Oct 1, 2012 (1,369 days).
All-time high: 205613279.0000 on Oct 1, 2025 · Current DD from ATH: 0.00%

Largest Single-Period Moves[09]

▲ Up
  • Oct 1, 20206.19%
  • Apr 1, 20206.05%
  • Apr 1, 20215.36%
  • Jan 1, 20194.58%
  • Jan 1, 20044.43%
▼ Down
  • Jan 1, 2020-4.39%
  • Oct 1, 2008-4.36%
  • Oct 1, 2018-3.47%
  • Apr 1, 2022-3.19%
  • Jul 1, 2008-2.78%

Calendar-Month Seasonality[10]

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

MONTHAVG RETURNHIT %N
January1.40%83.3%24
April1.60%83.3%24
July1.19%75.0%24
October1.56%88.0%25

N = 98 OBS · GENERATED 2026-05-18 12:00Z

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.

Key Drivers & Risks

  • Macro regime
  • Monetary policy
  • Risk appetite

Historical Volatility

Moderate

Frequently Asked Questions

What factors could push Household Total Assets higher?

The primary drivers that tend to lift Household Total Assets depend on the current macro regime. Total assets held by US households and nonprofits, before subtracting liabilities. Convex tracks these drivers live across the Flow of Funds 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 Household Total Assets lower?

The same transmission channels that drive Household Total Assets 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 Household Total Assets 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 Household Total Assets?

Historical ranges for Household Total Assets 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 Household Total Assets chart page, which includes selectable time ranges up to five years and downloadable data.

How often is the Household Total Assets 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.