CONVEX
Correlation Deep Dive

Quits Rate vs Unemployment Rate: Correlation Analysis

Pearson correlation of daily returns for JOLTS Quit Rate and Unemployment Rate (U3). Rolling windows, yearly breakdown, regression beta, and divergence analysis. Data window spans to (55 aligned observations).

30-Day
+0.008
Essentially uncorrelated
90-Day
+0.061
Essentially uncorrelated
1-Year
+0.061
Essentially uncorrelated
5-Year
+0.061
Essentially uncorrelated

What the Number Means

With a correlation of 0.06, JOLTS Quit Rate and Unemployment Rate (U3) are essentially uncorrelated at daily frequency. Either the relationship operates at a different time horizon or the shared driver has been dominated by idiosyncratic noise during the observation window.

Recent vs Long-Run Behavior

Last 90 Days
+0.061
5-Year Baseline
+0.061

Recent correlation tracks the long-run relationship closely. No meaningful divergence. The historical pattern between JOLTS Quit Rate and Unemployment Rate (U3) is intact and should continue to serve as a reasonable baseline for positioning.

Statistical Details (1-Year Window)

Pearson Correlation (r)+0.061
R-Squared (r²)0.004
Beta (JOLTS Quit Rate vs Unemployment Rate (U3))0.076
Daily Volatility σ(JOLTS Quit Rate)4.55%
Daily Volatility σ(Unemployment Rate (U3))3.64%
Observations55

Correlation measures directional co-movement; R² quantifies the fraction of variance explained by the linear relationship. Beta is the slope coefficient from regressing JOLTS Quit Rate returns on Unemployment Rate (U3) returns. A beta above 1 means the first asset amplifies moves of the second.

Year-by-Year Correlation

YearCorrelationStrengthObservations
2026Insufficient data2
2025-0.169Essentially uncorrelated11
2024+0.436Moderate positive12
2023+0.507Moderate positive12
2022+0.191Essentially uncorrelated12
2021-0.842Very strong negative6

Year-by-year correlation reveals how the relationship has held up across different macro regimes. Sharp year-over-year swings in correlation often mark the transition between stress and calm periods.

Methodology

Correlations are computed on daily log-adjacent returns for JOLTS Quit Rate and Unemployment Rate (U3), aligned on shared trading dates. We use the Pearson product-moment coefficient, which measures the linear relationship between two return series.

Windows are the most recent N observations for 30D, 90D, and 1Y (252 trading days); the 5Y figure uses all aligned data up to 1,260 observations. Beta is the OLS slope from regressing the first series on the second. Data updates daily with a 24-hour revalidation cadence.

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Get daily macro analysis on shifting correlations, regime transitions, and cross-asset signals.

Correlation is not causation and backward-looking statistics can fail when regimes shift. Positions sized on historical correlation assumptions should be stress-tested against scenarios where the relationship breaks. For informational purposes only.