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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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-0.414000 |
| |
-0.414058 |
| |
-0.414079 |
| |
-0.414103 |
| |
-0.414472 |
| |
-0.414746 |
| |
-0.414755 |
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-0.414829 |
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-0.414872 |
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-0.414926 |
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-0.415203 |
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-0.415256 |
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-0.415376 |
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-0.415658 |
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-0.415832 |
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-0.415854 |
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-0.415870 |
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-0.416030 |
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-0.416040 |
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-0.416065 |
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-0.416167 |
| |
-0.416682 |
| |
-0.416684 |
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-0.416759 |
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-0.416851 |
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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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