CONVEX
Last updated
▍ STATISTICAL PROJECTION · YEAR-END 2026
Central Estimate
452.68
+1.5% vs current 446
68% Range (±1σ)
140.72 to 764.64
95% Range (±1.96σ)
-158.77 to 1,064.13
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 76.6% ANNUALIZED REALIZED VOL.
EXPECTED TO BE 452.68 BY 2026-12-31 (HIGHER FROM 446 ON 2026-03-01). NOT INVESTMENT ADVICE.
▍ MODEL · STATISTICAL FORECAST · 2026

Housing Starts: 5+ Units Forecast 2026

Quantitative analysis from 298 observations of Housing Starts: 5+ Units history, joined to four universal macro regime classifications. Numbers are computed, not narrated.

ByConvex Research Desk·Edited byBen Bleier·
HOUST5F · LAST
446
AS OF 2026-03-01
Percentile · 25Y History
86.2th

Performance by Window[02]

WINDOWNANN RETANN VOLRET/VOLHIT %TOTAL
1Y1313.50%66.70%0.2066.7%13.49%
3Y36-1.92%70.46%-0.0357.1%-5.51%
5Y61-0.40%61.34%-0.0151.7%-1.98%
10Y1212.48%66.25%0.0452.5%27.79%
All2981.80%76.62%0.0250.8%55.40%

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
86.2th
53.00median 326.00615.00
Current value 446.0000 on a 298-observation history going back to Oct 1, 2009.
Volatility Regime
normal
73.70%REALIZED 30D ANN
Sits at the 59.7th percentile vs full history. Median 71.35%.

Forward Returns by Macro Regime[04]

How Housing Starts: 5+ Units 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: 16.89 Normal (15-25)
REGIME BUCKETN+30D+90D+1Y AVG+1Y MEDHIT %
Low (<15)651.31%-0.08%1.01%-2.79%47.7%
Normal (15-25)903.42%7.29%11.63%11.22%65.1%
Elevated (25-40)324.10%3.35%17.68%8.00%56.3%
Extreme (>40)3n/an/an/an/an/a
10Y-2Y Yield Curve
Yield curve regime: Inverted (<0bps), Flat (0-100bps), Steep (>100bps)
CURRENT: 0.51 Flat (0-100bps)
REGIME BUCKETN+30D+90D+1Y AVG+1Y MEDHIT %
Inverted (<0bps)27-4.77%-6.66%-8.34%-11.74%37.0%
Flat (0-100bps)624.67%5.75%3.47%-1.15%46.4%
Steep (>100bps)1004.49%5.93%17.00%11.93%69.0%
HY OAS Spread
Credit regime: Tight (<350bps), Normal (350-500bps), Stressed (>500bps)
CURRENT: 2.83 Tight (<350bps)
REGIME BUCKETN+30D+90D+1Y AVG+1Y MEDHIT %
Tight (<350bps)242.62%4.92%18.01%18.10%84.2%
Normal (350-500bps)450.75%0.37%-3.68%-11.51%39.5%
Stressed (>500bps)187.58%7.07%7.05%6.56%50.0%
Trade-Weighted Dollar
Dollar regime: bottom/middle/top tercile of trailing 5Y rolling distribution
CURRENT: 118.73 Weak (bottom tercile)
REGIME BUCKETN+30D+90D+1Y AVG+1Y MEDHIT %
Weak (bottom tercile)346.87%6.31%15.94%20.24%70.6%
Neutral (middle)385.47%6.92%28.91%16.53%76.5%
Strong (top tercile)771.07%1.98%1.53%-1.15%48.0%

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 Housing Starts: 5+ Units; negative means it lags.

ANCHORROLEPEAK LAGPEAK CORRZERO-LAGRELATIONSHIP
Initial Jobless ClaimsLabor leader+56d0.292-0.186leads target by 56d
HY OAS SpreadCredit risk leader+55d-0.259-0.253leads target by 55d
NFCIFinancial conditions+37d0.225-0.105leads target by 37d
CopperGlobal growth proxy+51d0.2140.206leads target by 51d
Baa-10Y SpreadCredit risk (slow)0d-0.197-0.197coincident
10Y-2Y Yield SpreadRecession leader+33d0.185-0.094leads target by 33d
VIXVolatility leader+13d0.173-0.124leads target by 13d
U-Mich Consumer SentimentSurvey leader-53d0.171-0.031lags target by 53d
Trade-Weighted DollarFX driver-9d0.151-0.115lags target by 9d
10Y Treasury YieldDiscount-rate driver-52d0.1450.112weak

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 Housing Starts: 5+ Units 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
Dec 1, 2024406.0000-17.73%6.40%-0.99%
Dec 1, 2023460.0000-23.91%-29.13%-11.74%
Jul 1, 2023450.0000-20.44%-16.67%-18.00%
Dec 1, 2022439.000018.68%7.52%4.78%
May 1, 2022446.000018.83%31.39%28.03%

Worst Historical Drawdown[07]

-87.47%PEAK-TO-TROUGH
Peak Jan 1, 2006 → trough Oct 1, 2009. Recovered to prior peak on Apr 1, 2015 (2,008 days).
All-time high: 615.0000 on Nov 1, 2022 · Current DD from ATH: -27.48%

Largest Single-Period Moves[09]

▲ Up
  • Jan 1, 201186.14%
  • Feb 1, 200976.47%
  • Aug 1, 201066.34%
  • Oct 1, 201660.87%
  • Oct 1, 200758.45%
▼ Down
  • Feb 1, 2011-42.02%
  • Mar 1, 2009-41.90%
  • Apr 1, 2020-37.87%
  • Dec 1, 2011-37.13%
  • Feb 1, 2010-36.08%

Calendar-Month Seasonality[10]

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

MONTHAVG RETURNHIT %N
January7.49%52.0%25
February-0.30%56.0%25
March0.29%48.0%25
April0.19%45.8%24
May4.54%58.3%24
June3.94%54.2%24
July1.66%44.0%25
August2.36%52.0%25
September1.67%52.0%25
October-0.04%36.0%25
November4.38%60.0%25
December3.72%52.0%25

N = 298 OBS · GENERATED 2026-05-03 05:31Z

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

  • Mortgage rates
  • Housing supply
  • Demographics
  • Construction costs
  • Credit availability

Historical Volatility

Moderate: housing cycles are multi-year

Scenarios That Affect This Forecast

Frequently Asked Questions

What factors could push Housing Starts: 5+ Units higher?

The primary drivers that tend to lift Housing Starts: 5+ Units depend on the current macro regime. Housing is the most interest-rate-sensitive sector of the economy and often the first to roll over heading into a downturn. Mortgage rates feed directly into affordability and demand, while building permits signal future supply. Home price indexes like Case-Shiller capture the wealth effect that drives consumer confidence and spending. Convex tracks these drivers live across the Housing 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 Housing Starts: 5+ Units lower?

The same transmission channels that drive Housing Starts: 5+ Units 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 Housing Starts: 5+ Units 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 Housing Starts: 5+ Units?

Historical ranges for Housing Starts: 5+ Units 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 Housing Starts: 5+ Units chart page, which includes selectable time ranges up to five years and downloadable data.

How often is the Housing Starts: 5+ Units 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.