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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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-0.151671 |
| |
-0.151687 |
| |
-0.151713 |
| |
-0.151756 |
| |
-0.151788 |
| |
-0.151803 |
| |
-0.152169 |
| |
-0.152208 |
| |
-0.152336 |
| |
-0.152409 |
| |
-0.152432 |
| |
-0.152481 |
| |
-0.152491 |
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-0.152525 |
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-0.152631 |
| |
-0.152638 |
| |
-0.152667 |
| |
-0.152768 |
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-0.152810 |
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-0.152954 |
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-0.152986 |
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-0.153084 |
| |
-0.153117 |
| |
-0.153240 |
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-0.153342 |
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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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