CONVEX
Correlation Deep Dive

US Composite Leading Indicator vs Euro Area CLI: Correlation Analysis

Pearson correlation of daily returns for US OECD CLI and Euro Area 4 OECD CLI. Rolling windows, yearly breakdown, regression beta, and divergence analysis. Data window spans to (31 aligned observations).

30-Day
+0.766
Strong positive
90-Day
+0.747
Strong positive
1-Year
+0.747
Strong positive
5-Year
+0.747
Strong positive

What the Number Means

At 0.75, US OECD CLI and Euro Area 4 OECD CLI have a strong tendency to move together. Most daily moves align, though divergences are common enough that the relationship should not be treated as deterministic. A shared regime or macro factor is likely driving both.

Recent vs Long-Run Behavior

Last 90 Days
+0.747
5-Year Baseline
+0.747

Recent correlation tracks the long-run relationship closely. No meaningful divergence. The historical pattern between US OECD CLI and Euro Area 4 OECD CLI is intact and should continue to serve as a reasonable baseline for positioning.

Statistical Details (1-Year Window)

Pearson Correlation (r)+0.747
R-Squared (r²)0.558
Beta (US OECD CLI vs Euro Area 4 OECD CLI)0.396
Daily Volatility σ(US OECD CLI)0.13%
Daily Volatility σ(Euro Area 4 OECD CLI)0.25%
Observations31

Correlation measures directional co-movement; R² quantifies the fraction of variance explained by the linear relationship. Beta is the slope coefficient from regressing US OECD CLI returns on Euro Area 4 OECD CLI returns. A beta above 1 means the first asset amplifies moves of the second.

Year-by-Year Correlation

YearCorrelationStrengthObservations
2024Insufficient data1
2023-0.911Very strong negative12
2022+0.604Strong positive12
2021-0.396Weak 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 US OECD CLI and Euro Area 4 OECD CLI, 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.