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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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-0.115887 |
| |
-0.115993 |
| |
-0.116198 |
| |
-0.116215 |
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-0.116414 |
| |
-0.116487 |
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-0.116568 |
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-0.116706 |
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-0.117023 |
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-0.117270 |
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-0.117354 |
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-0.117746 |
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-0.117746 |
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-0.117776 |
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-0.117776 |
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-0.117959 |
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-0.118012 |
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-0.118072 |
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-0.118072 |
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-0.118140 |
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-0.118142 |
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-0.118164 |
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-0.118206 |
| |
-0.118239 |
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-0.118246 |
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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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