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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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0.528394 |
| |
0.528342 |
| |
0.528272 |
| |
0.528150 |
| |
0.528116 |
| |
0.528085 |
| |
0.527970 |
| |
0.527901 |
| |
0.527813 |
| |
0.527742 |
| |
0.527726 |
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0.527145 |
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0.526942 |
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0.526887 |
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0.526710 |
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0.526661 |
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0.526412 |
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0.526330 |
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0.526304 |
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0.526253 |
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0.526188 |
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0.526084 |
| |
0.525966 |
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0.525775 |
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0.525648 |
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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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