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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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-0.383705 |
| |
-0.383727 |
| |
-0.383737 |
| |
-0.383877 |
| |
-0.383918 |
| |
-0.384204 |
| |
-0.384219 |
| |
-0.384254 |
| |
-0.384275 |
| |
-0.384379 |
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-0.384555 |
| |
-0.384645 |
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-0.384775 |
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-0.384833 |
| |
-0.384959 |
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-0.384971 |
| |
-0.385055 |
| |
-0.385168 |
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-0.385174 |
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-0.385300 |
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-0.385346 |
| |
-0.385346 |
| |
-0.385375 |
| |
-0.385409 |
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-0.385472 |
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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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