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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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0.453091 |
| |
0.453082 |
| |
0.452984 |
| |
0.452983 |
| |
0.452981 |
| |
0.452969 |
| |
0.452947 |
| |
0.452941 |
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0.452888 |
| |
0.452856 |
| |
0.452834 |
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0.452822 |
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0.452806 |
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0.452759 |
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0.452707 |
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0.452680 |
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0.452663 |
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0.452637 |
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0.452629 |
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0.452617 |
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0.452616 |
| |
0.452614 |
| |
0.452598 |
| |
0.452480 |
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0.452391 |
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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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