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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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-0.244424 |
| |
-0.244602 |
| |
-0.244659 |
| |
-0.244933 |
| |
-0.244952 |
| |
-0.245004 |
| |
-0.245018 |
| |
-0.245048 |
| |
-0.245078 |
| |
-0.245217 |
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-0.245250 |
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-0.245255 |
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-0.245256 |
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-0.245260 |
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-0.245350 |
| |
-0.245427 |
| |
-0.245465 |
| |
-0.245495 |
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-0.245517 |
| |
-0.245549 |
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-0.245561 |
| |
-0.245597 |
| |
-0.245606 |
| |
-0.245614 |
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-0.245616 |
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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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