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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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-0.199550 |
| |
-0.199582 |
| |
-0.199591 |
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-0.199595 |
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-0.199597 |
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-0.199647 |
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-0.199664 |
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-0.199679 |
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-0.199729 |
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-0.199753 |
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-0.199770 |
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-0.199791 |
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-0.199821 |
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-0.199852 |
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-0.199888 |
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-0.199943 |
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-0.199948 |
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-0.199976 |
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-0.200018 |
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-0.200118 |
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-0.200132 |
| |
-0.200164 |
| |
-0.200195 |
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-0.200207 |
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-0.200224 |
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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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