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Correlation
of values
+95%
In sync
of periods
76%
History
monthsmonths · through 2026-05
233
These move in the same direction about 76% of the time
When one swings, the other almost always swings by a closely matched amount (~90% of the pattern is shared).
Strong enough to use as a signal — check the stability and regime notes below before relying on it.
Both lines start at the same point — easy to compare when growth rates are similar.
What to Watch
Holds in both up and down markets
The relationship is similar whether prices are rising or falling — reliable in both directions.
Flips between sync and inverse
Sometimes the two move together, sometimes opposite. Don't treat this as a stable signal.
Advanced
Statistics
In sync(i)
76%
Headline metric
Movement correlation(i)
+95%
Based on values
95% CI
N/A
Likely range
Pipeline
Pipeline Summary
233 paired data points survived the monthly window.
Raw input
1,050
233
Normalized
1,050
233
Prepared
1,050
233
Aligned
233
233
Invalid removed
90%
Variance explained
Significance
N/A
Statistical confidence
Data points(i)
233
Usable
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: -18 to 18 months.
Selected shift
No shift
Correlation at this shift
+95%
No shift — both series at their actual dates.
233 overlapping points at this shift
Baseline
+95%
No-shift correlation, matching the main time-series chart above.
Peak shift
No shift
+95%
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.
Do They Crash Together?
How these series behave when markets are rising, falling, or diverging. A correlation that holds in drawdowns is very different from one that only works in rallies.
Both Rising
+77%
157 periods · Return correlation when both series rose
Both Falling
+86%
18 periods · Return correlation when both series fell
Diverging
-66%
57 periods · Return correlation when series moved apart
Scatter
0
A: 0 / B: 0
Duplicates removed
0
A: 0 / B: 0
Alignment drops
817
A: 817 / B: 0
Series A
Nonfarm Payrolls
PAYEMS
FRED · 1,050 raw → 1,050 prepared
Series B
Real Personal Consumption
PCEC96
FRED · 233 raw → 233 prepared
Sign agreement
100.0%
How often both values share the same sign.
Zero crossings
3
Estimated crossover points between normalized spreads.
Slope
0.1859
Linear regression slope.
Intercept
-13442.6998
Linear regression intercept.
Saved 3 months ago · ID: fred-payems_fred-pcec96_monthly_5y