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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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-0.257529 |
| |
-0.257533 |
| |
-0.257628 |
| |
-0.257638 |
| |
-0.257661 |
| |
-0.257765 |
| |
-0.257795 |
| |
-0.257833 |
| |
-0.257904 |
| |
-0.257913 |
| |
-0.257967 |
| |
-0.258007 |
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-0.258012 |
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-0.258023 |
| |
-0.258045 |
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-0.258100 |
| |
-0.258141 |
| |
-0.258181 |
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-0.258240 |
| |
-0.258259 |
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-0.258260 |
| |
-0.258261 |
| |
-0.258261 |
| |
-0.258278 |
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-0.258342 |
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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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