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Correlation
of values
-81%
In sync
of periods
49%
History
monthsmonths · through 2026-06
36
These move in the same direction about 49% of the time
When one swings, the other almost always swings by a closely matched amount in the opposite direction (~65% 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 tighter than usual — the pair is behaving differently than its long-run pattern.
ICE BofA US High Yield Index Effective Yield moves ~18 months before Avg Hourly Earnings
Watch ICE BofA US High Yield Index Effective Yield for an early read on Avg Hourly Earnings.
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)
49%
Headline metric
Movement correlation(i)
-81%
Based on values
95% CI
N/A
Pipeline
Pipeline Summary
36 paired data points survived the monthly window.
Raw input
785
244
Normalized
785
244
Prepared
37
244
Aligned
36
36
Invalid removed
Likely range
R²(i)
65%
Variance explained
Significance
N/A
Statistical confidence
Data points(i)
36
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
-86%
+5% stronger than no-shift baseline
Avg Hourly Earnings shifted 18 months earlier. Reads: "Does ICE BofA US High Yield Index Effective Yield today line up with Avg Hourly Earnings 18 months from now?"
18 overlapping points at this shift
Baseline
-81%
No-shift correlation, matching the main time-series chart above.
Peak shift
+18 months
-86%
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
-49%
17 periods · Return correlation when both series rose
Both Falling
N/A
0 periods · Return correlation when both series fell
Diverging
-4%
18 periods · Return correlation when series moved apart
Scatter
0
A: 0 / B: 0
Duplicates removed
0
A: 0 / B: 0
Alignment drops
209
A: 1 / B: 208
Series A
ICE BofA US High Yield Index Effective Yield
BAMLH0A0HYM2EY
FRED · 785 raw → 37 prepared
Series B
Avg Hourly Earnings
CES0500000003
FRED · 244 raw → 244 prepared
Sign agreement
100.0%
How often both values share the same sign.
Zero crossings
3
Estimated crossover points between normalized spreads.
Slope
-1.4405
Linear regression slope.
Intercept
46.2851
Linear regression intercept.
Saved 3 months ago · ID: fred-bamlh0a0hym2ey_fred-ces0500000003_monthly_5y