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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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0.109011 |
| |
0.108997 |
| |
0.108685 |
| |
0.108669 |
| |
0.108593 |
| |
0.108214 |
| |
0.108129 |
| |
0.108105 |
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0.108034 |
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0.108011 |
| |
0.108004 |
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0.108003 |
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0.107977 |
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0.107950 |
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0.107904 |
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0.107817 |
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0.107788 |
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0.107753 |
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0.107679 |
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0.107676 |
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0.107627 |
| |
0.107603 |
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0.107502 |
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0.107365 |
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0.107292 |
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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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