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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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-0.272056 |
| |
-0.272494 |
| |
-0.272617 |
| |
-0.272841 |
| |
-0.272957 |
| |
-0.273304 |
| |
-0.273327 |
| |
-0.273353 |
| |
-0.273432 |
| |
-0.273461 |
| |
-0.273649 |
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-0.273779 |
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-0.273837 |
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-0.273928 |
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-0.273931 |
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-0.273939 |
| |
-0.274001 |
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-0.274061 |
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-0.274190 |
| |
-0.274195 |
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-0.274220 |
| |
-0.274307 |
| |
-0.274541 |
| |
-0.274575 |
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-0.274644 |
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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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