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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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-0.125817 |
| |
-0.125830 |
| |
-0.125860 |
| |
-0.125898 |
| |
-0.125962 |
| |
-0.126018 |
| |
-0.126036 |
| |
-0.126037 |
| |
-0.126136 |
| |
-0.126175 |
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-0.126224 |
| |
-0.126268 |
| |
-0.126286 |
| |
-0.126324 |
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-0.126327 |
| |
-0.126486 |
| |
-0.126577 |
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-0.126632 |
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-0.126706 |
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-0.126747 |
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-0.126759 |
| |
-0.126816 |
| |
-0.126966 |
| |
-0.127055 |
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-0.127100 |
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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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