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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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-0.302025 |
| |
-0.302049 |
| |
-0.302074 |
| |
-0.302127 |
| |
-0.302128 |
| |
-0.302131 |
| |
-0.302149 |
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-0.302216 |
| |
-0.302336 |
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-0.302595 |
| |
-0.302609 |
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-0.302623 |
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-0.302642 |
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-0.302709 |
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-0.302768 |
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-0.302815 |
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-0.302827 |
| |
-0.302882 |
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-0.302902 |
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-0.302922 |
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-0.302936 |
| |
-0.303015 |
| |
-0.303035 |
| |
-0.303041 |
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-0.303083 |
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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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