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Correlation
of values
-62%
In sync
of periods
—
History
monthsmonths · through 2026-01
257
These move together
When one swings, the other often swings by a similar amount in the opposite direction (~38% of the pattern is shared).
Roughly random — these don't track each other in a meaningful way.
On a log scale so equal % moves take equal vertical space — best when one series has grown much faster than the other.
Advanced
Statistics
In sync(i)
N/A
Headline metric
Movement correlation(i)
-62%
Based on values
95% CI
N/A
Pipeline
Pipeline Summary
257 paired data points survived the monthly window.
Raw input
317
16,111
Normalized
317
16,111
Prepared
317
775
Aligned
257
257
Invalid removed
Likely range
R²(i)
38%
Variance explained
Significance
N/A
Statistical confidence
Data points(i)
257
Robust
Time-Shifted Correlation
See how correlation changes when one series is offset in time. A taller bar at a non-zero shift means the two move together better when one leads the other — that's a potential lead/lag signal.
Correlation by shift
Click a bar to inspect. Range: 0 to 0 months.
Selected shift
No shift
Correlation at this shift
-62%
No shift — both series at their actual dates.
257 overlapping points at this shift
Baseline
-62%
No-shift correlation, matching the main time-series chart above.
Peak shift
No shift
-62%
A non-zero peak suggests one series lines up better when shifted against the other.
Stability
How the correlation evolves over time. A stable line means the relationship is reliable; large swings signal regime-dependent behavior.
Scatter
0
A: 0 / B: 0
Duplicates removed
0
A: 0 / B: 0
Alignment drops
578
A: 60 / B: 518
Series A
Real GDP
GDPC1
FRED · 317 raw → 317 prepared
Series B
10Y Treasury Yield
DGS10
FRED · 16,111 raw → 775 prepared
Sign agreement
100.0%
How often both values share the same sign.
Zero crossings
1
Estimated crossover points between normalized spreads.
Slope
-0.0003
Linear regression slope.
Intercept
9.5498
Linear regression intercept.
Saved 3 months ago · ID: fred-dgs10_fred-gdpc1_monthly_5y