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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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-0.353916 |
| |
-0.354019 |
| |
-0.354223 |
| |
-0.354224 |
| |
-0.354301 |
| |
-0.354317 |
| |
-0.354474 |
| |
-0.354486 |
| |
-0.354598 |
| |
-0.354727 |
| |
-0.354752 |
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-0.354775 |
| |
-0.354788 |
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-0.354788 |
| |
-0.354839 |
| |
-0.354913 |
| |
-0.354967 |
| |
-0.354971 |
| |
-0.355015 |
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-0.355060 |
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-0.355062 |
| |
-0.355091 |
| |
-0.355101 |
| |
-0.355113 |
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-0.355113 |
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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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