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Correlation
of values
+35%
In sync
of periods
55%
History
monthsmonths · through 2026-04
390
These move in the same direction about 55% of the time
Their swing sizes only faintly line up (~12% 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.
What to Watch
USD/MXN Exchange Rate moves ~18 months before CPI: Used Cars & Trucks
Watch USD/MXN Exchange Rate for an early read on CPI: Used Cars & Trucks.
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)
54.7%
Headline metric
Movement correlation(i)
+35%
Based on values
95% CI
+26% → +43%
Likely range of correlation
Pipeline
Pipeline Summary
390 paired data points survived the monthly window.
Raw input
880
8,153
Normalized
880
8,153
Prepared
880
391
Aligned
390
390
Invalid removed
R²(i)
12.3%
Variance explained
Significance
p < 0.001
Statistical confidence
Data points
390
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: -18 to 18 months.
Selected shift
-18 months
Correlation at this shift
+44%
+9% stronger than no-shift baseline
USD/MXN Exchange Rate shifted 18 months later. Reads: "Does CPI: Used Cars & Trucks today line up with USD/MXN Exchange Rate 18 months ago?"
372 overlapping points at this shift
Baseline
+35%
No-shift correlation, matching the main time-series chart above.
Peak shift
-18 months
+44%
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
+12%
66 periods · Return correlation when both series rose
Both Falling
+4%
71 periods · Return correlation when both series fell
Diverging
-49%
112 periods · Return correlation when series moved apart
Scatter
0
A: 0 / B: 0
Duplicates removed
0
A: 0 / B: 0
Alignment drops
491
A: 490 / B: 1
Series A
CPI: Used Cars & Trucks
CUSR0000SETA02
FRED · 880 raw → 880 prepared
Series B
USD/MXN Exchange Rate
DEXMXUS
FRED · 8,153 raw → 391 prepared
Sign agreement
100.0%
How often both values share the same sign.
Zero crossings
11
Estimated crossover points between normalized spreads.
Slope
0.0897
Linear regression slope.
Intercept
-0.3654
Linear regression intercept.
Saved 2 weeks ago · ID: fred-cusr0000seta02_fred-dexmxus_monthly_5y