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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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0.294992 |
| |
0.294973 |
| |
0.294890 |
| |
0.294878 |
| |
0.294833 |
| |
0.294775 |
| |
0.294739 |
| |
0.294716 |
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0.294716 |
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0.294686 |
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0.294633 |
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0.294485 |
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0.294446 |
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0.294181 |
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0.294179 |
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0.294173 |
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0.294115 |
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0.294092 |
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0.294022 |
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0.293813 |
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0.293697 |
| |
0.293594 |
| |
0.293590 |
| |
0.293546 |
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0.293537 |
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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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