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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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0.963569 |
| |
0.963454 |
| |
0.963441 |
| |
0.963292 |
| |
0.962699 |
| |
0.962682 |
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0.962549 |
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0.962395 |
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0.962234 |
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0.962209 |
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0.962176 |
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0.962155 |
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0.962144 |
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0.962045 |
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0.961782 |
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0.961631 |
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0.961432 |
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0.961120 |
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0.960866 |
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0.960651 |
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0.960589 |
| |
0.960566 |
| |
0.960518 |
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0.960283 |
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0.960269 |
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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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