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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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-0.642675 |
| |
-0.642812 |
| |
-0.643507 |
| |
-0.643987 |
| |
-0.644145 |
| |
-0.644195 |
| |
-0.645237 |
| |
-0.645237 |
| |
-0.645237 |
| |
-0.645721 |
| |
-0.646174 |
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-0.646411 |
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-0.646690 |
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-0.647876 |
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-0.647995 |
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-0.648071 |
| |
-0.648543 |
| |
-0.648829 |
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-0.649410 |
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-0.649855 |
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-0.650015 |
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-0.651605 |
| |
-0.651790 |
| |
-0.652487 |
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-0.652505 |
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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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