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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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0.095314 |
| |
0.095267 |
| |
0.095250 |
| |
0.095244 |
| |
0.095241 |
| |
0.095229 |
| |
0.095178 |
| |
0.095143 |
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0.095136 |
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0.095119 |
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0.095111 |
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0.095001 |
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0.094991 |
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0.094940 |
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0.094881 |
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0.094860 |
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0.094856 |
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0.094711 |
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0.094679 |
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0.094664 |
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0.094636 |
| |
0.094627 |
| |
0.094595 |
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0.094584 |
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0.094529 |
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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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