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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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-0.557545 |
| |
-0.557767 |
| |
-0.557865 |
| |
-0.558068 |
| |
-0.558585 |
| |
-0.558786 |
| |
-0.558845 |
| |
-0.558940 |
| |
-0.558970 |
| |
-0.559008 |
| |
-0.559068 |
| |
-0.559636 |
| |
-0.559667 |
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-0.560083 |
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-0.560277 |
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-0.560366 |
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-0.560733 |
| |
-0.560742 |
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-0.560994 |
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-0.561194 |
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-0.561194 |
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-0.561599 |
| |
-0.561636 |
| |
-0.561765 |
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-0.561859 |
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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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