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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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-0.724667 |
| |
-0.724703 |
| |
-0.724745 |
| |
-0.724817 |
| |
-0.724834 |
| |
-0.724866 |
| |
-0.725032 |
| |
-0.725370 |
| |
-0.725387 |
| |
-0.725443 |
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-0.725460 |
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-0.725460 |
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-0.725479 |
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-0.725539 |
| |
-0.725559 |
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-0.725595 |
| |
-0.725598 |
| |
-0.725612 |
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-0.725648 |
| |
-0.725660 |
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-0.725666 |
| |
-0.725724 |
| |
-0.725749 |
| |
-0.725749 |
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-0.725752 |
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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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