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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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0.019702 |
| |
0.019577 |
| |
0.019407 |
| |
0.019381 |
| |
0.019349 |
| |
0.019302 |
| |
0.019279 |
| |
0.019003 |
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0.018989 |
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0.018989 |
| |
0.018962 |
| |
0.018794 |
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0.018724 |
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0.018697 |
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0.018230 |
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0.018212 |
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0.018130 |
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0.018064 |
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0.018027 |
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0.017925 |
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0.017875 |
| |
0.017813 |
| |
0.017782 |
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0.017508 |
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0.017383 |
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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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