CONVEX
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▍ STATISTICAL PROJECTION · YEAR-END 2023

Based on current macro regime conditions and household financial obligations ratio's historical behaviour in similar regimes, the model projects 14.13% by 2023-12-31 ( -0.4% from 14.20% today). The 68% confidence range is 13.70% to 14.57%; the wider 95% range is 13.28% to 14.98%. Methodology below the headline.

Central Estimate
14.13%
-0.4% vs current 14.20%
68% Range (±1σ)
13.70% to 14.57%
95% Range (±1.96σ)
13.28% to 14.98%
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 126-DAY HORIZON. BAND = ±σ√T USING 4.3% ANNUALIZED REALIZED VOL.
EXPECTED TO BE 14.13% BY 2023-12-31 (LOWER FROM 14.20% ON 2023-07-01). NOT INVESTMENT ADVICE.
▍ MODEL · STATISTICAL FORECAST · 2026

Household Financial Obligations Ratio Forecast 2026

Quantitative analysis from 89 observations of Household Financial Obligations Ratio history, joined to four universal macro regime classifications. Numbers are computed, not narrated.

ByConvex Research Desk·Edited byBen Bleier·
FODSP · LAST
14.20%
AS OF 2023-07-01
Percentile · 25Y History
10.1th

Performance by Window[02]

WINDOWNANN RETANN VOLRET/VOLHIT %TOTAL
1Y5-1.07%2.26%-0.4750.0%-1.07%
3Y131.27%9.03%0.1475.0%3.85%
5Y21-0.71%8.25%-0.0965.0%-3.48%
10Y41-0.77%5.79%-0.1347.5%-7.42%
All89-0.90%4.32%-0.2142.0%-17.96%

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
10.1th
12.43median 15.3718.16
Current value 14.1980 on a 89-observation history going back to Jan 1, 2021.
Volatility Regime
extreme
6.82%REALIZED 30D ANN
Sits at the 98.3th percentile vs full history. Median 2.36%.

Historical Analogs[06]

Periods where Household Financial Obligations Ratio 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
Apr 1, 202214.34870.00%0.02%-1.67%
Jan 1, 202214.30570.00%0.30%-1.27%
Oct 1, 202114.01460.00%2.08%2.73%
Jul 1, 201914.74310.00%-0.21%-7.27%
Oct 1, 201615.17610.00%-0.85%-1.78%

Worst Historical Drawdown[07]

-31.55%PEAK-TO-TROUGH
Peak Oct 1, 2007 → trough Jan 1, 2021. Has not yet recovered to prior peak.
All-time high: 18.1576 on Oct 1, 2007 · Current DD from ATH: -21.81%

Largest Single-Period Moves[09]

▲ Up
  • Apr 1, 20219.36%
  • Jan 1, 20133.96%
  • Jul 1, 20203.17%
  • Oct 1, 20012.76%
  • Jan 1, 20052.72%
▼ Down
  • Jan 1, 2021-10.98%
  • Apr 1, 2020-9.29%
  • Oct 1, 2012-2.63%
  • Apr 1, 2008-2.52%
  • Apr 1, 2010-2.35%

Calendar-Month Seasonality[10]

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

MONTHAVG RETURNHIT %N
January-0.67%27.3%22
April-0.44%36.4%22
July0.29%59.1%22
October0.01%45.5%22

N = 89 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 Financial Obligations Ratio higher?

The primary drivers that tend to lift Household Financial Obligations Ratio depend on the current macro regime. Household financial obligations (debt service plus auto lease, rent, homeowner insurance, property tax) as a share of disposable personal income. Convex tracks these drivers live across the Consumer Credit 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 Financial Obligations Ratio lower?

The same transmission channels that drive Household Financial Obligations Ratio 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 Financial Obligations Ratio 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 Financial Obligations Ratio?

Historical ranges for Household Financial Obligations Ratio 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 Financial Obligations Ratio chart page, which includes selectable time ranges up to five years and downloadable data.

How often is the Household Financial Obligations Ratio 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.