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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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-0.443617 |
| |
-0.443642 |
| |
-0.443864 |
| |
-0.443969 |
| |
-0.444009 |
| |
-0.444246 |
| |
-0.444319 |
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-0.444525 |
| |
-0.444832 |
| |
-0.444917 |
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-0.445024 |
| |
-0.445037 |
| |
-0.445069 |
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-0.445105 |
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-0.445115 |
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-0.445123 |
| |
-0.445306 |
| |
-0.445403 |
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-0.445430 |
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-0.445528 |
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-0.445595 |
| |
-0.445725 |
| |
-0.445750 |
| |
-0.445756 |
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-0.445834 |
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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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