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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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-0.209539 |
| |
-0.209592 |
| |
-0.209702 |
| |
-0.209736 |
| |
-0.209822 |
| |
-0.209828 |
| |
-0.209838 |
| |
-0.209846 |
| |
-0.209929 |
| |
-0.209936 |
| |
-0.209991 |
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-0.210008 |
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-0.210017 |
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-0.210048 |
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-0.210055 |
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-0.210086 |
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-0.210093 |
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-0.210171 |
| |
-0.210195 |
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-0.210199 |
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-0.210314 |
| |
-0.210324 |
| |
-0.210336 |
| |
-0.210438 |
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-0.210531 |
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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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