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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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-0.444353 |
| |
-0.444365 |
| |
-0.444396 |
| |
-0.444407 |
| |
-0.444433 |
| |
-0.444453 |
| |
-0.444564 |
| |
-0.444570 |
| |
-0.444581 |
| |
-0.444597 |
| |
-0.444603 |
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-0.444633 |
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-0.444636 |
| |
-0.444647 |
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-0.444690 |
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-0.444759 |
| |
-0.444798 |
| |
-0.444826 |
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-0.444840 |
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-0.444872 |
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-0.444928 |
| |
-0.444954 |
| |
-0.444982 |
| |
-0.445016 |
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-0.445151 |
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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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