CONVEX
Correlation Deep Dive

VIX vs MOVE Index: Correlation Analysis

Pearson correlation of daily returns for VIX Index and MOVE Index. Rolling windows, yearly breakdown, regression beta, and divergence analysis. Data window spans to (1,235 aligned observations).

30-Day
+0.637
Strong positive
90-Day
+0.631
Strong positive
1-Year
+0.537
Moderate positive
5-Year
+0.371
Weak positive

What the Number Means

At 0.63, VIX Index and MOVE Index have a strong tendency to move together. Most daily moves align, though divergences are common enough that the relationship should not be treated as deterministic. A shared regime or macro factor is likely driving both.

Recent vs Long-Run Behavior

Last 90 Days
+0.631
5-Year Baseline
+0.371

The correlation has strengthened materially. The 90-day reading of 0.63 is 0.26 above the long-run average of 0.37. Rising correlation typically accompanies deleveraging, broad risk-off, or a dominant single-factor regime where idiosyncratic drivers get drowned out.

Statistical Details (1-Year Window)

Pearson Correlation (r)+0.537
R-Squared (r²)0.289
Beta (VIX Index vs MOVE Index)0.813
Daily Volatility σ(VIX Index)7.65%
Daily Volatility σ(MOVE Index)5.06%
Observations252

Correlation measures directional co-movement; R² quantifies the fraction of variance explained by the linear relationship. Beta is the slope coefficient from regressing VIX Index returns on MOVE Index returns. A beta above 1 means the first asset amplifies moves of the second.

Year-by-Year Correlation

YearCorrelationStrengthObservations
2026+0.664Strong positive73
2025+0.485Moderate positive248
2024+0.339Weak positive250
2023+0.401Moderate positive249
2022+0.330Weak positive249
2021+0.221Weak positive166

Year-by-year correlation reveals how the relationship has held up across different macro regimes. Sharp year-over-year swings in correlation often mark the transition between stress and calm periods.

Rolling 90-Day Extremes

Most Correlated Period
+0.639
ending 2026-04-09
Most Decoupled Period
-0.010
ending 2022-02-08

Extremes in rolling 90-day correlation often coincide with regime changes, forced deleveraging, or the arrival of a dominant new macro theme that overwhelms normal relationships.

Methodology

Correlations are computed on daily log-adjacent returns for VIX Index and MOVE Index, aligned on shared trading dates. We use the Pearson product-moment coefficient, which measures the linear relationship between two return series.

Windows are the most recent N observations for 30D, 90D, and 1Y (252 trading days); the 5Y figure uses all aligned data up to 1,260 observations. Beta is the OLS slope from regressing the first series on the second. Data updates daily with a 24-hour revalidation cadence.

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Get daily macro analysis on shifting correlations, regime transitions, and cross-asset signals.

Correlation is not causation and backward-looking statistics can fail when regimes shift. Positions sized on historical correlation assumptions should be stress-tested against scenarios where the relationship breaks. For informational purposes only.