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Correlation
of values
-28%
In sync
of periods
50%
History
monthsmonths · through 2026-03
304
These move opposite each other about 50% of the time
Their swing sizes only faintly mirror each other (~8% 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
Slipping tighter
The recent pattern is tighter than its long-run baseline — keep an eye on whether this sticks.
USD/CNY Exchange Rate moves ~18 months before Job Openings
Watch USD/CNY Exchange Rate for an early read on Job Openings.
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)
50.3%
Headline metric
Movement correlation(i)
-28%
Based on values
95% CI
-38% → -17%
Likely range of correlation
Pipeline
Pipeline Summary
304 paired data points survived the monthly window.
Raw input
304
11,325
Normalized
304
11,325
Prepared
304
545
Aligned
304
304
Invalid removed
R²(i)
7.8%
Variance explained
Significance
p < 0.001
Statistical confidence
Data points
304
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
-38%
+11% stronger than no-shift baseline
USD/CNY Exchange Rate shifted 18 months later. Reads: "Does Job Openings today line up with USD/CNY Exchange Rate 18 months ago?"
286 overlapping points at this shift
Baseline
-28%
No-shift correlation, matching the main time-series chart above.
Peak shift
-18 months
-38%
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
+7%
46 periods · Return correlation when both series rose
Both Falling
-1%
73 periods · Return correlation when both series fell
Diverging
-50%
130 periods · Return correlation when series moved apart
Scatter
0
A: 0 / B: 0
Duplicates removed
0
A: 0 / B: 0
Alignment drops
241
A: 0 / B: 241
Series A
Job Openings
JTSJOL
FRED · 304 raw → 304 prepared
Series B
USD/CNY Exchange Rate
DEXCHUS
FRED · 11,325 raw → 545 prepared
Sign agreement
100.0%
How often both values share the same sign.
Zero crossings
7
Estimated crossover points between normalized spreads.
Slope
-0.0001
Linear regression slope.
Intercept
7.5770
Linear regression intercept.
Saved 2 weeks ago · ID: fred-dexchus_fred-jtsjol_monthly_5y