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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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0.739468 |
| |
0.739438 |
| |
0.739339 |
| |
0.739225 |
| |
0.739017 |
| |
0.738975 |
| |
0.738690 |
| |
0.738690 |
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0.738687 |
| |
0.738664 |
| |
0.738619 |
| |
0.738537 |
| |
0.738485 |
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0.738387 |
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0.738360 |
| |
0.738318 |
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0.738241 |
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0.738191 |
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0.738000 |
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0.737775 |
| |
0.737737 |
| |
0.737669 |
| |
0.737573 |
| |
0.737542 |
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0.737452 |
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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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