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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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0.720117 |
| |
0.719971 |
| |
0.719958 |
| |
0.719949 |
| |
0.719911 |
| |
0.719909 |
| |
0.719909 |
| |
0.719898 |
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0.719898 |
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0.719889 |
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0.719785 |
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0.719753 |
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0.719703 |
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0.719693 |
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0.719693 |
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0.719691 |
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0.719648 |
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0.719642 |
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0.719585 |
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0.719554 |
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0.719415 |
| |
0.719383 |
| |
0.719372 |
| |
0.719372 |
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0.719347 |
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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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