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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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0.405425 |
| |
0.405358 |
| |
0.405330 |
| |
0.405293 |
| |
0.405226 |
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0.405201 |
| |
0.405085 |
| |
0.405043 |
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0.405039 |
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0.405005 |
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0.405000 |
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0.404998 |
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0.404998 |
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0.404992 |
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0.404946 |
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0.404946 |
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0.404855 |
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0.404827 |
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0.404774 |
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0.404735 |
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0.404723 |
| |
0.404685 |
| |
0.404680 |
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0.404664 |
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0.404425 |
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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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