Correlation Matrix
Real-time statistical relationships between key financial assets.
Asset Correlation Analysis
Select an asset to view its correlations
+1.87% (1D)
Showing 13 assets correlated with VIX
Asset | Correlation with VIX | Relationship | Likely Outcome (1D) |
|---|---|---|---|
| EUR Index | 0.45 | Moderate Positive | +0.84% |
| USD Index | 0.43 | Moderate Positive | +0.80% |
| DXY | 0.39 | Moderate Positive | +0.73% |
| US 10Y | 0.23 | Weak Positive | +0.42% |
| Put/Call Ratio | -0.04 | Weak Negative | -0.08% |
| JPY Index | -0.32 | Moderate Negative | -0.60% |
| Gold | -0.37 | Moderate Negative | -0.69% |
| Silver | -0.46 | Moderate Negative | -0.85% |
| LQD (Inv Grade) | -0.47 | Moderate Negative | -0.88% |
| HYG (High Yield) | -0.58 | Moderate Negative | -1.09% |
| DOW | -0.65 | Moderate Negative | -1.21% |
| NASDAQ 100 | -0.65 | Moderate Negative | -1.21% |
| S&P 500 | -0.75 | Very Strong Negative | -1.40% |
Understanding Pearson Correlation Coefficients
What is a Pearson Correlation?
The Pearson correlation coefficient measures the linear relationship between two assets' price movements. It ranges from -1.0 to +1.0, quantifying how closely two assets move together (or opposite to each other) over time.
Positive Correlation (+1.0 to 0)
Assets move in the same direction. When one goes up, the other tends to go up. A coefficient of +0.7 or higher indicates a strong positive relationship.
Negative Correlation (0 to -1.0)
Assets move in opposite directions. When one goes up, the other tends to go down. A coefficient of -0.7 or lower indicates a strong inverse relationship.
Our Methodology:
- Data Source: 90 days of historical closing prices from our internal DailyPriceHistory database
- Calculation: Pearson correlation coefficient computed from daily percentage returns
- Currency Indexes: Synthetic G10 currency strength indexes computed from all available forex pair returns — replaces individual pair correlations for cleaner cross-asset analysis
- Risk Score Correlation: How each asset's daily returns correlate with changes in our proprietary Risk Score
- Minimum Data Points: At least 15 overlapping trading days required for valid correlation
- Update Frequency: Recalculated weekly from our mainframe database
- N/A Values: Displayed when insufficient historical data exists or assets don't have overlapping dates
📊 Interpretation Tips:
- +0.8 to +1.0: Very strong positive correlation - assets move in lockstep
- +0.5 to +0.8: Moderate positive correlation - assets tend to move together
- -0.3 to +0.3: Weak/no correlation - assets move independently
- -0.5 to -0.8: Moderate negative correlation - assets tend to move opposite
- -0.8 to -1.0: Very strong negative correlation - assets move in opposite directions consistently
Note: Correlation measures only linear relationships and is based on historical data. Past correlations do not guarantee future relationships, especially during periods of market stress or regime changes.
How to Read This Matrix:
Positive Correlation (Green): Assets move in the same direction. When one goes up, the other tends to go up.
Negative Correlation (Red): Assets move in opposite directions. When one goes up, the other tends to go down.
Strong Correlation (Dark): Values above 0.7 or below -0.7 indicate a very strong relationship.
N/A (Gray): Insufficient historical data to calculate a reliable correlation coefficient (fewer than 5 overlapping data points).
Correlation Matrix
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