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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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0.208026 |
| |
0.207914 |
| |
0.207532 |
| |
0.207481 |
| |
0.207354 |
| |
0.207327 |
| |
0.207308 |
| |
0.207253 |
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0.207206 |
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0.207004 |
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0.206870 |
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0.206773 |
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0.206596 |
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0.206590 |
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0.206581 |
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0.206459 |
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0.206412 |
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0.206266 |
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0.206144 |
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0.206048 |
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0.205975 |
| |
0.205937 |
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0.205779 |
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0.205759 |
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0.205743 |
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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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