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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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-0.234680 |
| |
-0.234696 |
| |
-0.234715 |
| |
-0.234892 |
| |
-0.234929 |
| |
-0.235368 |
| |
-0.235609 |
| |
-0.235642 |
| |
-0.235812 |
| |
-0.235989 |
| |
-0.236042 |
| |
-0.236063 |
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-0.236302 |
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-0.236388 |
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-0.236561 |
| |
-0.236562 |
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-0.236670 |
| |
-0.236763 |
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-0.236817 |
| |
-0.236848 |
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-0.236849 |
| |
-0.236926 |
| |
-0.237472 |
| |
-0.237559 |
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-0.237713 |
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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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