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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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0.198329 |
| |
0.198307 |
| |
0.198265 |
| |
0.198169 |
| |
0.198134 |
| |
0.198125 |
| |
0.198113 |
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0.198090 |
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0.198077 |
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0.197990 |
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0.197967 |
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0.197891 |
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0.197885 |
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0.197835 |
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0.197830 |
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0.197779 |
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0.197647 |
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0.197645 |
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0.197618 |
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0.197616 |
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0.197616 |
| |
0.197589 |
| |
0.197527 |
| |
0.197473 |
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0.197459 |
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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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