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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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-0.727726 |
| |
-0.727809 |
| |
-0.728105 |
| |
-0.728248 |
| |
-0.728661 |
| |
-0.728991 |
| |
-0.729053 |
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-0.729064 |
| |
-0.729238 |
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-0.729245 |
| |
-0.729764 |
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-0.729850 |
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-0.729860 |
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-0.730050 |
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-0.730052 |
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-0.730585 |
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-0.730585 |
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-0.730760 |
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-0.731001 |
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-0.731125 |
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-0.731263 |
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-0.731263 |
| |
-0.731393 |
| |
-0.731761 |
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-0.731978 |
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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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