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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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-0.325256 |
| |
-0.325565 |
| |
-0.325718 |
| |
-0.325750 |
| |
-0.325836 |
| |
-0.325995 |
| |
-0.325995 |
| |
-0.326108 |
| |
-0.326142 |
| |
-0.326142 |
| |
-0.326400 |
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-0.326412 |
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-0.326553 |
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-0.326553 |
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-0.326658 |
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-0.326754 |
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-0.327031 |
| |
-0.327313 |
| |
-0.327388 |
| |
-0.327497 |
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-0.327615 |
| |
-0.327972 |
| |
-0.328168 |
| |
-0.328482 |
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-0.328559 |
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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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