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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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-0.269837 |
| |
-0.269858 |
| |
-0.269870 |
| |
-0.269881 |
| |
-0.270146 |
| |
-0.270149 |
| |
-0.270153 |
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-0.270172 |
| |
-0.270195 |
| |
-0.270368 |
| |
-0.270495 |
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-0.270520 |
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-0.270556 |
| |
-0.270609 |
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-0.270790 |
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-0.270868 |
| |
-0.270933 |
| |
-0.271017 |
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-0.271596 |
| |
-0.271775 |
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-0.271785 |
| |
-0.272214 |
| |
-0.272250 |
| |
-0.272629 |
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-0.273159 |
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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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