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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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-0.114135 |
| |
-0.114248 |
| |
-0.114280 |
| |
-0.114408 |
| |
-0.114582 |
| |
-0.114586 |
| |
-0.114606 |
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-0.114715 |
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-0.115207 |
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-0.115572 |
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-0.115608 |
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-0.115767 |
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-0.115928 |
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-0.115965 |
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-0.116339 |
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-0.116476 |
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-0.116485 |
| |
-0.116598 |
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-0.116684 |
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-0.116723 |
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-0.117007 |
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-0.117154 |
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-0.117451 |
| |
-0.117527 |
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-0.117588 |
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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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