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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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-0.714785 |
| |
-0.716700 |
| |
-0.716943 |
| |
-0.716943 |
| |
-0.717368 |
| |
-0.717458 |
| |
-0.717458 |
| |
-0.717881 |
| |
-0.718551 |
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-0.719151 |
| |
-0.719290 |
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-0.719290 |
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-0.719404 |
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-0.719404 |
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-0.719662 |
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-0.719973 |
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-0.720172 |
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-0.720342 |
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-0.720466 |
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-0.720606 |
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-0.720609 |
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-0.720785 |
| |
-0.721493 |
| |
-0.721561 |
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-0.721963 |
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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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