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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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-0.138069 |
| |
-0.138146 |
| |
-0.138164 |
| |
-0.138198 |
| |
-0.138235 |
| |
-0.138518 |
| |
-0.138527 |
| |
-0.138587 |
| |
-0.138590 |
| |
-0.138606 |
| |
-0.138610 |
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-0.138625 |
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-0.138640 |
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-0.138656 |
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-0.138670 |
| |
-0.138680 |
| |
-0.138761 |
| |
-0.138768 |
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-0.138804 |
| |
-0.138893 |
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-0.138970 |
| |
-0.138995 |
| |
-0.139026 |
| |
-0.139032 |
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-0.139060 |
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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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