Correlation Analysis
Durable Goods Orders vs Schwab Fundamental U.S. Small Company ETF
DGORDER vs FNDA
+0.425
Moderate positive
When one moves up, the other tends to follow.
Durable Goods Orders
DGORDER
Schwab Fundamental U.S. Small Company ETF
FNDA
AI Analysis
The correlation between DGORDER, which reflects order volumes in the economy, and the Schwab Fundamental U.S. Small Company ETF suggests a moderate relationship, indicating that increases in order volumes are often associated with rising small-cap stock prices. Notably, DGORDER tends to lead changes in the ETF by about 14 months, implying that shifts in economic activity may precede movements in small company stocks. However, while there is a statistically significant relationship, the relatively low R-squared indicates that other factors also play a significant role in influencing small-cap performance, so this correlation should be considered as one piece of a larger investment strategy.
Time Series
Relative Performance
Who Moves First
Durable Goods Orders leads FNDA by 14 months
Durable Goods Orders tends to move before FNDA.
After testing 37 timing shifts, the strongest relationship was +0.717 (they moved in the same direction).
Stability
Rolling Correlation
How the correlation evolves over time. A stable line means the relationship is reliable; large swings signal regime-dependent behavior.
Do They Crash Together?
Correlation by Market Regime
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
+0.518
17 periods · Return correlation when both series rose
Both Falling
+0.671
11 periods · Return correlation when both series fell
Diverging
-0.576
30 periods · Return correlation when series moved apart
R-Squared
18.1%
Share of variance in one series explained by the other.
Trend Agreement
48.3%
How often both series moved in the same direction period-to-period.
Overlap Quality
59
Thin shared window — 59 usable pairs.
Significance
p < 0.001
95% CI: [0.190, 0.615]
Scatter
XY Regression
Pipeline
Data quality details
Pipeline
Data quality details
Pipeline Summary
59 paired data points survived the monthly window.
Raw input
409
1,254
Normalized
409
1,254
Prepared
409
61
Aligned
59
59
Invalid removed
0
A: 0 / B: 0
Duplicates removed
0
A: 0 / B: 0
Alignment drops
352
A: 350 / B: 2
Series A
DGORDER
FRED · 409 raw → 409 prepared
Series B
Schwab Fundamental U.S. Small Company ETF
FNDA
Stock · 1,254 raw → 61 prepared
Sign agreement
100.0%
How often both values share the same sign.
Zero crossings
11
Estimated crossover points between normalized spreads.
Slope
0.0001
Linear regression slope.
Intercept
8.7341
Linear regression intercept.
Related Extremes
Highest and Lowest Correlated
Saved 5 hours ago · ID: fred-dgorder-vs-stock-fnda-monthly