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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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-0.289559 |
| |
-0.289579 |
| |
-0.289584 |
| |
-0.289676 |
| |
-0.289688 |
| |
-0.289756 |
| |
-0.289789 |
| |
-0.289807 |
| |
-0.289817 |
| |
-0.289833 |
| |
-0.289844 |
| |
-0.289940 |
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-0.290003 |
| |
-0.290069 |
| |
-0.290118 |
| |
-0.290161 |
| |
-0.290230 |
| |
-0.290241 |
| |
-0.290241 |
| |
-0.290378 |
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-0.290393 |
| |
-0.290398 |
| |
-0.290430 |
| |
-0.290440 |
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-0.290448 |
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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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