CONVEX
Correlation Deep Dive

Recession Probability vs Unemployment: Correlation Analysis

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

30-Day
+0.091
Essentially uncorrelated
90-Day
-0.230
Weak negative
1-Year
-0.230
Weak negative
5-Year
-0.230
Weak negative

What the Number Means

A correlation of -0.23 signals only a weak tendency to move in opposite directions. On most days the two move independently. Do not expect one to reliably predict the other. Look for conditional relationships within specific regimes or event windows.

Recent vs Long-Run Behavior

Last 90 Days
-0.230
5-Year Baseline
-0.230

Recent correlation tracks the long-run relationship closely. No meaningful divergence. The historical pattern between CVRP, Convex Recession Probability 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)-0.230
R-Squared (r²)0.053
Beta (CVRP, Convex Recession Probability vs Unemployment Rate (U3))-2.315
Daily Volatility σ(CVRP, Convex Recession Probability)36.37%
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 CVRP, Convex Recession Probability 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+0.125Essentially uncorrelated11
2024+0.556Moderate positive12
2023-0.641Strong negative12
2022-0.455Moderate negative12
2021+0.673Strong positive6

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 CVRP, Convex Recession Probability 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.