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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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0.751471 |
| |
0.751471 |
| |
0.751436 |
| |
0.751315 |
| |
0.751309 |
| |
0.751263 |
| |
0.751249 |
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0.751220 |
| |
0.751211 |
| |
0.751205 |
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0.751203 |
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0.751187 |
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0.751139 |
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0.751124 |
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0.751013 |
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0.751009 |
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0.750997 |
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0.750912 |
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0.750865 |
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0.750854 |
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0.750831 |
| |
0.750830 |
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0.750830 |
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0.750807 |
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0.750764 |
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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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