Correlation Analysis
Consumer Price Indices (CPIs, HICPs), COICOP 1999: Consumer Price Index: Total for Korea vs Consumer Price Index for All Urban Consumers: All Items in U.S. City Average
KORCPIALLMINMEI vs CPIAUCSL
+0.996
Very strong positive
When one moves up, the other tends to follow.
AI Analysis
The nearly perfect correlation between the KORCPIALLMINMEI and CPIAUCSL indicates that movements in the Korean Consumer Price Index align closely with those in the U.S. Consumer Price Index, suggesting that inflation trends in Korea closely track those in the United States. The observation that the U.S. CPI leads the Korean index by one period means that investors and economists should pay attention to U.S. inflation trends as they may provide predictive insights into Korean inflation. However, while this correlation is strong, it’s essential to consider other factors that could influence inflation independently in each country, such as local economic conditions and policy responses.
Timing Offset
y leads x by 1 period
CPIAUCSL tends to move before KORCPIALLMINMEI.
Correlation at each lag offset (periods). Peak marked with dot.
Peak correlation at offset: +0.998 (13 lags scanned)
R-Squared
99.2%
Share of variance in one series explained by the other.
Trend Agreement
100.0%
How often both series moved in the same direction period-to-period.
Overlap Quality
767
Deep shared window — 767 usable pairs.
Time Series
Rebased to 100
Scatter
XY Regression
Pipeline
Data quality details
Pipeline
Data quality details
Pipeline Summary
767 paired observations survived the daily window.
Raw input
767
949
Normalized
767
949
Prepared
767
949
Aligned
767
767
Invalid removed
0
A: 0 / B: 0
Duplicates removed
0
A: 0 / B: 0
Alignment drops
182
A: 0 / B: 182
Series A
KORCPIALLMINMEI
Consumer Price Indices (CPIs, HICPs), COICOP 1999: Consumer Price Index: Total for Korea
FRED · 767 raw → 767 prepared
Series B
CPIAUCSL
Consumer Price Index for All Urban Consumers: All Items in U.S. City Average
FRED · 949 raw → 949 prepared
Sign agreement
100.0%
How often both values share the same sign.
Zero crossings
1
Estimated crossover points between normalized spreads.
Slope
2.1528
Linear regression slope.
Intercept
31.2102
Linear regression intercept.
Saved 10 hours ago · ID: fred-korcpiallminmei-vs-fred-cpiaucsl-daily-20260406-rb61md