Correlation
of values
+67%
In sync
of periods
46%
History
monthsmonths · through 2025-10
179
These move in the same direction about 46% of the time
When one swings, the other often swings by a similar amount (~45% 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 looser
The recent pattern is looser than its long-run baseline — keep an eye on whether this sticks.
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.
AI Analysis
The 46% in-sync rate suggests a moderate correlation, possibly driven by shared economic factors like consumer spending trends influencing both series. Data shows a consistent movement correlation of 0.67, indicating a significant relationship, though the in-sync percentage hints at some divergence during specific periods. Going forward, investors should closely monitor monthly updates on consumer spending data to gauge potential shifts in these series. Not investment advice.
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Advanced
Statistics
In sync(i)
45.7%
Headline metric
Movement correlation(i)
+67%
Based on values
95% CI
+58% → +74%
Likely range of correlation
Pipeline
Pipeline Summary
179 paired data points survived the monthly window.
Raw input
11,261
204
Normalized
11,261
204
Prepared
542
204
Aligned
179
179
Invalid removed
R²(i)
44.9%
Variance explained
Significance
p < 0.001
Statistical confidence
Data points
179
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
+67%
No shift — both series at their actual dates.
179 overlapping points at this shift
Baseline
+67%
No-shift correlation, matching the main time-series chart above.
Peak shift
No shift
+67%
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
-10%
61 periods · Return correlation when both series rose
Both Falling
+90%
19 periods · Return correlation when both series fell
Diverging
-39%
98 periods · Return correlation when series moved apart
Scatter
0
A: 0 / B: 0
Duplicates removed
0
A: 0 / B: 0
Alignment drops
388
A: 363 / B: 25
Series A
USD/KRW Exchange Rate
DEXKOUS
FRED · 11,261 raw → 542 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
0.1054
Linear regression slope.
Intercept
-23.9439
Linear regression intercept.
Saved 2 days ago · ID: fred-dexkous-vs-fred-qkrn628bis-monthly
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Top 10 by absolute correlation
Ranked across both sides of this comparison using the same dense row format as the single-symbol correlations view.