CONVEX
Last updated
▍ STATISTICAL PROJECTION · YEAR-END 2026
Central Estimate
1,710.99
-0.6% vs current 1,721
68% Range (±1σ)
-215.27 to 3,637.25
95% Range (±1.96σ)
-2,064.47 to 5,486.45
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 230-DAY HORIZON. BAND = ±σ√T USING 117.2% ANNUALIZED REALIZED VOL.
EXPECTED TO BE 1,710.99 BY 2026-12-31 (LOWER FROM 1,721 ON 2026-02-01). NOT INVESTMENT ADVICE.
▍ MODEL · STATISTICAL FORECAST · 2026

JOLTS Layoffs & Discharges Level Forecast 2026

Quantitative analysis from 297 observations of JOLTS Layoffs & Discharges Level history, joined to four universal macro regime classifications. Numbers are computed, not narrated.

ByConvex Research Desk·Edited byBen Bleier·
JTSLDL · LAST
1,721
AS OF 2026-02-01
Percentile · 25Y History
23.6th

Performance by Window[02]

WINDOWNANN RETANN VOLRET/VOLHIT %TOTAL
1Y13-7.83%29.26%-0.2750.0%-7.82%
3Y36-3.38%28.06%-0.1248.6%-9.56%
5Y611.12%28.67%0.0448.3%5.71%
10Y120-0.73%183.42%-0.0048.7%-6.97%
All297-0.64%117.16%-0.0151.7%-14.59%

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
23.6th
1312.00median 1835.0012985.00
Current value 1721.0000 on a 297-observation history going back to Apr 1, 2022.
Volatility Regime
elevated
28.81%REALIZED 30D ANN
Sits at the 74.5th percentile vs full history. Median 20.29%.

Forward Returns by Macro Regime[04]

How JOLTS Layoffs & Discharges Level 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)650.51%10.36%17.70%0.25%53.8%
Normal (15-25)90-0.20%0.25%1.24%0.54%51.8%
Elevated (25-40)32-1.68%-3.38%-6.61%-6.41%34.4%
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)272.28%3.93%6.47%5.95%77.8%
Flat (0-100bps)62-1.64%6.83%16.16%-0.45%44.6%
Steep (>100bps)100-0.91%-0.23%-1.75%-1.62%43.0%
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)240.52%0.63%5.60%3.57%68.4%
Normal (350-500bps)450.46%14.73%26.07%1.87%58.1%
Stressed (>500bps)18-4.62%-6.57%-11.39%-4.76%33.3%
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)34-0.42%0.66%4.06%2.81%64.7%
Neutral (middle)38-1.49%-2.02%-2.53%-4.12%29.4%
Strong (top tercile)77-0.45%7.93%12.66%0.43%56.0%

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 JOLTS Layoffs & Discharges Level; negative means it lags.

ANCHORROLEPEAK LAGPEAK CORRZERO-LAGRELATIONSHIP
Initial Jobless ClaimsLabor leader-1d0.981-0.053coincident
HY OAS SpreadCredit risk leader-1d0.5760.169coincident
Baa-10Y SpreadCredit risk (slow)-1d0.4850.096coincident
10Y-2Y Yield SpreadRecession leader-29d-0.4580.031lags target by 29d
VIXVolatility leader+54d0.4190.293leads target by 54d
10Y Treasury YieldDiscount-rate driver-1d-0.268-0.136coincident
U-Mich Consumer SentimentSurvey leader-1d-0.209-0.102coincident
Trade-Weighted DollarFX driver-1d0.1980.083coincident
CopperGlobal growth proxy+39d0.127-0.018weak
NFCIFinancial conditions+17d-0.031-0.006weak

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 JOLTS Layoffs & Discharges Level 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, 20251738.00007.42%-3.86%-4.49%
Jul 1, 20241711.0000-1.64%7.01%3.57%
Jan 1, 20231767.0000-13.13%-12.85%-7.13%
Nov 1, 20191782.00008.36%628.68%17.68%
Jun 1, 20191780.00002.98%2.19%26.12%

Worst Historical Drawdown[07]

-89.90%PEAK-TO-TROUGH
Peak Mar 1, 2020 → trough Apr 1, 2022. Has not yet recovered to prior peak.
All-time high: 12985.0000 on Mar 1, 2020 · Current DD from ATH: -86.75%

Largest Single-Period Moves[09]

▲ Up
  • Mar 1, 2020564.53%
  • Mar 1, 202323.97%
  • Nov 1, 202023.57%
  • Jun 1, 201017.76%
  • Apr 1, 201916.15%
▼ Down
  • May 1, 2020-76.67%
  • Apr 1, 2020-29.38%
  • Jul 1, 2020-18.62%
  • Jan 1, 2021-17.79%
  • May 1, 2009-15.94%

Calendar-Month Seasonality[10]

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

MONTHAVG RETURNHIT %N
January0.18%52.0%25
February0.25%52.0%25
March24.00%50.0%24
April-1.82%41.7%24
May-2.98%54.2%24
June1.58%62.5%24
July-0.97%48.0%25
August-0.08%44.0%25
September0.34%60.0%25
October-0.47%52.0%25
November0.68%48.0%25
December0.02%56.0%25

N = 297 OBS · GENERATED 2026-05-03 04:01Z

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.

Consensus source: Bloomberg survey consensus

Key Drivers & Risks

  • Economic growth
  • Monetary policy
  • Fiscal spending
  • Immigration
  • Productivity

Historical Volatility

Low: labor market is a lagging indicator with slow-moving trends

Frequently Asked Questions

What factors could push JOLTS Layoffs & Discharges Level higher?

The primary drivers that tend to lift JOLTS Layoffs & Discharges Level depend on the current macro regime. The labor market is the backbone of the consumer economy. Rising jobless claims and a climbing unemployment rate are classic late-cycle signals that precede recessions and rate cuts. The Fed has a dual mandate, maximum employment and stable prices, so labor data directly influences the path of monetary policy. Convex tracks these drivers live across the Labor Market 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 JOLTS Layoffs & Discharges Level lower?

The same transmission channels that drive JOLTS Layoffs & Discharges Level 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 JOLTS Layoffs & Discharges Level 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 JOLTS Layoffs & Discharges Level?

Historical ranges for JOLTS Layoffs & Discharges Level 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 JOLTS Layoffs & Discharges Level chart page, which includes selectable time ranges up to five years and downloadable data.

How often is the JOLTS Layoffs & Discharges Level 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.