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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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0.947980 |
| |
0.947939 |
| |
0.947934 |
| |
0.947789 |
| |
0.947693 |
| |
0.947567 |
| |
0.947535 |
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0.947531 |
| |
0.947510 |
| |
0.947401 |
| |
0.947395 |
| |
0.947393 |
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0.947391 |
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0.947373 |
| |
0.947370 |
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0.947356 |
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0.947253 |
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0.947238 |
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0.947198 |
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0.947177 |
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0.947128 |
| |
0.947018 |
| |
0.947003 |
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0.946595 |
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0.946517 |
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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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