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Correlation
of values
+25%
In sync
of periods
60%
History
monthsmonths · through 2025-10
104
These move in the same direction about 60% of the time
Their swing sizes only faintly line up (~6% of the pattern is shared).
A real but noisy link — useful as context, risky as a standalone signal.
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/VES Exchange Rate moves ~4 months before South Korea Home Prices
Watch USD/VES Exchange Rate for an early read on South Korea Home Prices.
Decouples in drawdowns
The relationship weakens when both prices are falling — don't count on this pair as a hedge under stress.
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)
59.7%
Headline metric
Movement correlation(i)
+25%
Based on values
95% CI
+6% → +42%
Likely range of correlation
Pipeline
Pipeline Summary
104 paired data points survived the monthly window.
Raw input
6,606
204
Normalized
6,606
204
Prepared
317
204
Aligned
104
104
Invalid removed
R²(i)
6.4%
Variance explained
Significance
p < 0.01
Statistical confidence
Data points
104
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
+4 months
Correlation at this shift
+35%
+10% stronger than no-shift baseline
South Korea Home Prices shifted 4 months earlier. Reads: "Does USD/VES Exchange Rate today line up with South Korea Home Prices 4 months from now?"
100 overlapping points at this shift
Baseline
+25%
No-shift correlation, matching the main time-series chart above.
Peak shift
+4 months
+35%
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
+74%
38 periods · Return correlation when both series rose
Both Falling
+15%
5 periods · Return correlation when both series fell
Diverging
-45%
60 periods · Return correlation when series moved apart
Scatter
0
A: 0 / B: 0
Duplicates removed
0
A: 0 / B: 0
Alignment drops
313
A: 213 / B: 100
Series A
USD/VES Exchange Rate
DEXVZUS
FRED · 6,606 raw → 317 prepared
Series B
South Korea Home Prices
QKRN628BIS
FRED · 204 raw → 204 prepared
Sign agreement
100.0%
How often both values share the same sign.
Zero crossings
4
Estimated crossover points between normalized spreads.
Slope
0.0000
Linear regression slope.
Intercept
105.8139
Linear regression intercept.
Saved 2 weeks ago · ID: fred-dexvzus_fred-qkrn628bis_monthly_5y