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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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-0.616266 |
| |
-0.616738 |
| |
-0.616785 |
| |
-0.616856 |
| |
-0.616868 |
| |
-0.617120 |
| |
-0.617455 |
| |
-0.617901 |
| |
-0.618384 |
| |
-0.618421 |
| |
-0.618421 |
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-0.618610 |
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-0.619455 |
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-0.619569 |
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-0.619672 |
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-0.619902 |
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-0.620039 |
| |
-0.620245 |
| |
-0.620246 |
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-0.620474 |
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-0.620505 |
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-0.620515 |
| |
-0.620545 |
| |
-0.620545 |
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-0.620622 |
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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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