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Correlation
of values
+76%
In sync
of periods
47%
History
monthsmonths · through 2025-10
80
These move in the same direction about 47% of the time
When one swings, the other often swings by a similar amount (~57% of the pattern is shared).
Roughly random — these don't track each other in a meaningful way.
Both lines start at the same point — easy to compare when growth rates are similar.
What to Watch
Unusual right now
Recently looser than usual — the pair is behaving differently than its long-run pattern.
South Korea Home Prices moves ~18 months before US Dollar Index
Watch South Korea Home Prices for an early read on US Dollar Index.
Tighter in drawdowns
The relationship is stronger when both prices are falling than when both are rising — typical risk-off behaviour.
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)
46.8%
Headline metric
Movement correlation(i)
+76%
Based on values
95% CI
+64% → +84%
Likely range of correlation
Pipeline
Pipeline Summary
80 paired data points survived the monthly window.
Raw input
5,097
204
Normalized
5,097
204
Prepared
245
204
Aligned
80
80
Invalid removed
R²(i)
57.2%
Variance explained
Significance
p < 0.001
Statistical confidence
Data points
80
Thin
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
+83%
+7% stronger than no-shift baseline
South Korea Home Prices shifted 18 months later. Reads: "Does US Dollar Index today line up with South Korea Home Prices 18 months ago?"
62 overlapping points at this shift
Baseline
+76%
No-shift correlation, matching the main time-series chart above.
Peak shift
-18 months
+83%
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
-41%
31 periods · Return correlation when both series rose
Both Falling
+65%
6 periods · Return correlation when both series fell
Diverging
-47%
42 periods · Return correlation when series moved apart
Scatter
0
A: 0 / B: 0
Duplicates removed
0
A: 0 / B: 0
Alignment drops
289
A: 165 / B: 124
Series A
US Dollar Index
DTWEXAFEGS
FRED · 5,097 raw → 245 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
7
Estimated crossover points between normalized spreads.
Slope
1.3070
Linear regression slope.
Intercept
-15.5455
Linear regression intercept.
Saved 2 days ago · ID: fred-dtwexafegs_fred-qkrn628bis_monthly_5y