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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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-0.515578 |
| |
-0.515697 |
| |
-0.515902 |
| |
-0.515979 |
| |
-0.516018 |
| |
-0.516025 |
| |
-0.516139 |
| |
-0.516323 |
| |
-0.516350 |
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-0.516675 |
| |
-0.517236 |
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-0.517536 |
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-0.517681 |
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-0.517688 |
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-0.517738 |
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-0.517858 |
| |
-0.518153 |
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-0.518197 |
| |
-0.518210 |
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-0.518460 |
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-0.518580 |
| |
-0.518582 |
| |
-0.518658 |
| |
-0.518679 |
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-0.518699 |
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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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