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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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-0.391709 |
| |
-0.391774 |
| |
-0.391852 |
| |
-0.391857 |
| |
-0.391928 |
| |
-0.391934 |
| |
-0.391962 |
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-0.391989 |
| |
-0.391991 |
| |
-0.392114 |
| |
-0.392172 |
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-0.392199 |
| |
-0.392385 |
| |
-0.392399 |
| |
-0.392453 |
| |
-0.392535 |
| |
-0.392639 |
| |
-0.392698 |
| |
-0.392764 |
| |
-0.392833 |
| |
-0.392849 |
| |
-0.392886 |
| |
-0.392886 |
| |
-0.393052 |
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-0.393084 |
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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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