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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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-0.614508 |
| |
-0.614515 |
| |
-0.614519 |
| |
-0.614519 |
| |
-0.614613 |
| |
-0.614623 |
| |
-0.614688 |
| |
-0.614689 |
| |
-0.614694 |
| |
-0.614729 |
| |
-0.614747 |
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-0.614766 |
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-0.614780 |
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-0.614816 |
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-0.614908 |
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-0.614930 |
| |
-0.614941 |
| |
-0.614981 |
| |
-0.614987 |
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-0.614995 |
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-0.615001 |
| |
-0.615036 |
| |
-0.615063 |
| |
-0.615115 |
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-0.615115 |
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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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