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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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-0.706160 |
| |
-0.706781 |
| |
-0.706961 |
| |
-0.707119 |
| |
-0.707933 |
| |
-0.708005 |
| |
-0.708762 |
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-0.708762 |
| |
-0.711994 |
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-0.713719 |
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-0.713971 |
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-0.715400 |
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-0.715605 |
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-0.716132 |
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-0.717683 |
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-0.720619 |
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-0.724103 |
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-0.724103 |
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-0.724604 |
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-0.727845 |
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-0.728166 |
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-0.728542 |
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-0.730569 |
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-0.730615 |
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-0.733447 |
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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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