CONVEX
Last updated
▍ STATISTICAL PROJECTION · YEAR-END 2018

Based on current macro regime conditions and fed mbs holdings's historical behaviour in similar regimes, the model projects 1,796,092.22 by 2018-12-31 ( +3.2% from 1,739,733 today). The 68% confidence range is -1,666,587.55 to 5,258,771.98; the wider 95% range is -4,990,760.12 to 8,582,944.55. Methodology below the headline.

Central Estimate
1,796,092.22
+3.2% vs current 1,739,733
68% Range (±1σ)
-1,666,587.55 to 5,258,771.98
95% Range (±1.96σ)
-4,990,760.12 to 8,582,944.55
Blended from 3 regime anchors· sample-weighted
VIX · Normal (15-25)
+11.8%n=349 · w=49%
10Y-2Y Yield Curve · Flat (0-100bps)
+0.9%n=186 · w=26%
Trade-Weighted Dollar · Weak (bottom tercile)
-0.7%n=171 · w=24%
METHOD: CENTRAL = SAMPLE-WEIGHTED MEAN OF PER-ANCHOR CURRENT-REGIME 1Y AVERAGES, SCALED TO 139-DAY HORIZON. BAND = ±σ√T USING 268.0% ANNUALIZED REALIZED VOL.
EXPECTED TO BE 1,796,092.22 BY 2018-12-31 (HIGHER FROM 1,739,733 ON 2018-06-13). NOT INVESTMENT ADVICE.
▍ MODEL · STATISTICAL FORECAST · 2026

Fed MBS Holdings Forecast 2026

Quantitative analysis from 809 observations of Fed MBS Holdings history, joined to four universal macro regime classifications. Numbers are computed, not narrated.

ByConvex Research Desk·Edited byBen Bleier·
MBST · LAST
1,739,733
AS OF 2018-06-13
Percentile · 25Y History
81.3th
▍ HEADLINE SIGNAL · CONTRARIAN BULLISH
Hist. Avg +252d
+11.8%
vs +7.0% unconditional · +4.8%pp above
When VIX sits in its Normal (15-25) regime — as it does today (17.26) — Fed MBS Holdings has historically returned an average of +11.76% over the next 252 trading days, 4.8pp above the all-history average of +7.00%. Sample: 349 observations, 61.4% hit rate.
METHOD: PERCENTILE-RANK MATCHED, LOOK-AHEAD-BIAS-FREE·NOT A FORECAST·HISTORICAL CONDITIONAL AVERAGE

Regime Scan[01/04]

VIX
Normal (15-25)
+11.8%+1Y AVG
Δ +4.8%pp · n=349

Δ = divergence from +7.0% unconditional all-history average

Performance by Window[02]

WINDOWNANN RETANN VOLRET/VOLHIT %TOTAL
1Y53-2.41%2.71%-0.8950.0%-2.40%
3Y157-0.02%3.41%-0.0158.3%-0.07%
5Y2617.58%5.37%1.4163.5%43.90%
10Y522n/a267.99%n/a57.6%n/a
All809n/a267.99%n/a57.6%n/a

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
81.3th
0.00median 853885.001782601.00
Current value 1739733.0000 on a 809-observation history going back to Dec 18, 2002.
Volatility Regime
very low
2.62%REALIZED 30D ANN
Sits at the 2.5th percentile vs full history. Median 4.89%.

Forward Returns by Macro Regime[04]

How Fed MBS Holdings 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: 17.26 Normal (15-25)
REGIME BUCKETN+30D+90D+1Y AVG+1Y MEDHIT %
Low (<15)3341.51%4.47%12.42%1.83%89.1%
Normal (15-25)3491.52%4.88%11.76%0.95%61.4%
Elevated (25-40)9320.50%116.29%261.70%1.29%62.3%
Extreme (>40)27763.14%2288.99%5084.39%1392.46%84.6%
10Y-2Y Yield Curve
Yield curve regime: Inverted (<0bps), Flat (0-100bps), Steep (>100bps)
CURRENT: 0.50 Flat (0-100bps)
REGIME BUCKETN+30D+90D+1Y AVG+1Y MEDHIT %
Inverted (<0bps)48n/an/an/an/an/a
Flat (0-100bps)186-0.17%-0.33%0.91%1.40%83.9%
Steep (>100bps)56729.22%95.76%213.79%2.43%71.3%
HY OAS Spread
Credit regime: Tight (<350bps), Normal (350-500bps), Stressed (>500bps)
CURRENT: 2.76 Tight (<350bps)
REGIME BUCKETN+30D+90D+1Y AVG+1Y MEDHIT %
Tight (<350bps)19-0.25%-1.16%n/an/an/a
Normal (350-500bps)910.01%0.32%0.46%0.92%69.0%
Stressed (>500bps)700.03%0.00%0.66%0.66%80.0%
Trade-Weighted Dollar
Dollar regime: bottom/middle/top tercile of trailing 5Y rolling distribution
CURRENT: 118.04 Weak (bottom tercile)
REGIME BUCKETN+30D+90D+1Y AVG+1Y MEDHIT %
Weak (bottom tercile)1711.11%2.74%-0.75%-7.20%27.4%
Neutral (middle)1763.58%13.06%37.70%33.57%78.6%
Strong (top tercile)24548.42%158.95%373.71%1.51%85.8%

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 Fed MBS Holdings; negative means it lags.

ANCHORROLEPEAK LAGPEAK CORRZERO-LAGRELATIONSHIP
NFCIFinancial conditions-40d-0.8270.002lags target by 40d
Baa-10Y SpreadCredit risk (slow)+22d0.2870.087leads target by 22d
10Y-2Y Yield SpreadRecession leader+22d0.230-0.059leads target by 22d
CopperGlobal growth proxy+19d-0.219-0.055leads target by 19d
Initial Jobless ClaimsLabor leader-42d0.217-0.002lags target by 42d
Trade-Weighted DollarFX driver+19d0.2080.059leads target by 19d
10Y Treasury YieldDiscount-rate driver+9d-0.197-0.055leads target by 9d
HY OAS SpreadCredit risk leader+46d-0.167-0.036leads target by 46d
VIXVolatility leader+22d0.1570.008leads target by 22d
U-Mich Consumer SentimentSurvey leader0d0.0000.000weak

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 Fed MBS Holdings 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 9, 2013926712.000011.44%27.20%60.80%
Aug 22, 2012859310.0000-2.83%7.84%51.66%
May 23, 2012864985.0000-1.15%-3.47%36.28%
Feb 22, 2012853045.0000-1.91%0.23%21.06%
Nov 23, 2011841600.0000-0.46%-0.57%7.01%

Worst Historical Drawdown[07]

-26.72%PEAK-TO-TROUGH
Peak Jun 23, 2010 → trough Nov 30, 2011. Recovered to prior peak on Apr 24, 2013 (511 days).
All-time high: 1782601.0000 on Jun 14, 2017 · Current DD from ATH: -2.40%

Largest Single-Period Moves[09]

▲ Up
  • Feb 18, 2009785.08%
  • Mar 18, 2009242.95%
  • Apr 15, 200950.28%
  • Jan 28, 200923.13%
  • May 13, 200917.97%
▼ Down
  • Nov 28, 2012-1.89%
  • Oct 31, 2012-1.85%
  • Aug 29, 2012-1.83%
  • Sep 26, 2012-1.78%
  • Jan 30, 2013-1.77%

Calendar-Month Seasonality[10]

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

MONTHAVG RETURNHIT %N
January0.97%61.0%41
February19.68%68.3%41
March5.68%59.1%44
April1.45%60.5%43
May0.48%50.0%44
June0.38%65.9%41
July0.44%50.0%40
August0.37%55.0%40
September0.30%59.0%39
October0.35%48.7%39
November0.36%56.4%39
December0.32%57.5%40

N = 809 OBS · GENERATED 2026-05-18 11:30Z

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 Fed MBS Holdings higher?

The primary drivers that tend to lift Fed MBS Holdings depend on the current macro regime. The Fed balance sheet and Treasury General Account together determine the volume of reserves circulating in the banking system. Nowcasts from Atlanta, New York, and Cleveland Fed staff provide real-time estimates of GDP and inflation, often weeks ahead of official releases. These operational metrics are what actually moves rates and reserves, as opposed to the policy statements that describe intent. Convex tracks these drivers live across the Fed Balance Sheet Detail 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 Fed MBS Holdings lower?

The same transmission channels that drive Fed MBS Holdings 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 Fed MBS Holdings 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 Fed MBS Holdings?

Historical ranges for Fed MBS Holdings 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 Fed MBS Holdings chart page, which includes selectable time ranges up to five years and downloadable data.

How often is the Fed MBS Holdings 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.