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Correlation Deep Dive

Nonfarm Payrolls vs Unemployment Rate: Correlation Analysis

Pearson correlation of daily returns for Nonfarm Payrolls and Unemployment Rate (U3). Rolling windows, yearly breakdown, regression beta, and divergence analysis. Data window spans to (56 aligned observations).

30-Day
-0.044
Essentially uncorrelated
90-Day
-0.498
Moderate negative
1-Year
-0.498
Moderate negative
5-Year
-0.498
Moderate negative

What the Number Means

The -0.50 correlation indicates that Nonfarm Payrolls and Unemployment Rate (U3) have a moderate tendency to move in opposite directions. The relationship is real but noisy, with frequent days where they disagree. Regime context matters: the correlation often strengthens during stress and weakens during calm periods.

Recent vs Long-Run Behavior

Last 90 Days
-0.498
5-Year Baseline
-0.498

Recent correlation tracks the long-run relationship closely. No meaningful divergence. The historical pattern between Nonfarm Payrolls 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)-0.498
R-Squared (r²)0.248
Beta (Nonfarm Payrolls vs Unemployment Rate (U3))-0.022
Daily Volatility σ(Nonfarm Payrolls)0.16%
Daily Volatility σ(Unemployment Rate (U3))3.61%
Observations56

Correlation measures directional co-movement; R² quantifies the fraction of variance explained by the linear relationship. Beta is the slope coefficient from regressing Nonfarm Payrolls 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 data3
2025+0.332Weak positive11
2024-0.150Essentially uncorrelated12
2023+0.281Weak positive12
2022-0.329Weak negative12
2021-0.112Essentially uncorrelated6

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 Nonfarm Payrolls 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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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.