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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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0.287241 |
| |
0.287236 |
| |
0.287229 |
| |
0.287226 |
| |
0.287210 |
| |
0.287122 |
| |
0.287117 |
| |
0.287061 |
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0.287058 |
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0.287053 |
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0.287034 |
| |
0.286945 |
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0.286928 |
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0.286893 |
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0.286877 |
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0.286869 |
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0.286869 |
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0.286816 |
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0.286795 |
| |
0.286761 |
| |
0.286707 |
| |
0.286603 |
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0.286500 |
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0.286496 |
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0.286418 |
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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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