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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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0.100573 |
| |
0.100496 |
| |
0.099878 |
| |
0.099861 |
| |
0.099810 |
| |
0.099686 |
| |
0.099655 |
| |
0.099511 |
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0.099503 |
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0.099503 |
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0.099490 |
| |
0.099479 |
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0.099458 |
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0.099431 |
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0.099420 |
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0.099218 |
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0.099156 |
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0.099043 |
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0.098865 |
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0.098677 |
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0.098677 |
| |
0.098532 |
| |
0.098414 |
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0.098414 |
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0.098374 |
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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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