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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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-0.198919 |
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-0.198980 |
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-0.199058 |
| |
-0.199118 |
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-0.199217 |
| |
-0.199274 |
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-0.199284 |
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-0.199338 |
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-0.199361 |
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-0.199391 |
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-0.199423 |
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-0.199442 |
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-0.199512 |
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-0.199541 |
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-0.199723 |
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-0.199729 |
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-0.199827 |
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-0.199837 |
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-0.199894 |
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-0.199938 |
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-0.199986 |
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-0.199995 |
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-0.200084 |
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-0.200189 |
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-0.200297 |
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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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