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Correlation analysis helps identify the relationship between two or more companies, showing how they move about each other. It helps assess patterns, manage risk, and improve decision-making by revealing which assets correlate positively or negatively.
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| Symbol | Correlation |
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-0.567801 |
| |
-0.567901 |
| |
-0.567919 |
| |
-0.568106 |
| |
-0.568145 |
| |
-0.568282 |
| |
-0.568363 |
| |
-0.568478 |
| |
-0.568766 |
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-0.568822 |
| |
-0.568840 |
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-0.568840 |
| |
-0.568919 |
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-0.568919 |
| |
-0.569333 |
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-0.569922 |
| |
-0.569987 |
| |
-0.570281 |
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-0.570374 |
| |
-0.570488 |
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-0.570569 |
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-0.570675 |
| |
-0.570719 |
| |
-0.571012 |
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-0.571084 |
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Stock Correlation - Explanation
Stock Correlation is the statistical measure of the relationship between two stocks. The correlation coefficient ranges between -1 and +1. A correlation of +1 implies that the two stocks will move in the same direction 100% of the time. A correlation of -1 implies the two stocks will move in the opposite direction 100% of the time. A correlation of zero implies that the relationship between the stocks is completely random. Correlations do not always remain stable and can even change on a daily basis. Correlation analysis can help you to diversify your positions. An imperfect correlation between two different stocks allows for more diversification and marginally lower risk.
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