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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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-0.068496 |
| |
-0.068503 |
| |
-0.068523 |
| |
-0.068524 |
| |
-0.068574 |
| |
-0.068594 |
| |
-0.068596 |
| |
-0.068603 |
| |
-0.068665 |
| |
-0.068687 |
| |
-0.068699 |
| |
-0.068711 |
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-0.068755 |
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-0.068828 |
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-0.068862 |
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-0.068882 |
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-0.068919 |
| |
-0.068948 |
| |
-0.069077 |
| |
-0.069107 |
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-0.069159 |
| |
-0.069171 |
| |
-0.069174 |
| |
-0.069215 |
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-0.069234 |
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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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