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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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0.917078 |
| |
0.916989 |
| |
0.916931 |
| |
0.916893 |
| |
0.916853 |
| |
0.916707 |
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0.916624 |
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0.916621 |
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0.916375 |
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0.916323 |
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0.916249 |
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0.916022 |
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0.915861 |
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0.915783 |
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0.915729 |
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0.915716 |
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0.915650 |
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0.915564 |
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0.915540 |
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0.915523 |
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0.915454 |
| |
0.915368 |
| |
0.915292 |
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0.915252 |
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0.915236 |
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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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