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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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-0.246320 |
| |
-0.246377 |
| |
-0.246445 |
| |
-0.246445 |
| |
-0.246468 |
| |
-0.246485 |
| |
-0.246496 |
| |
-0.246577 |
| |
-0.246646 |
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-0.246688 |
| |
-0.246694 |
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-0.246731 |
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-0.246752 |
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-0.246764 |
| |
-0.246829 |
| |
-0.246876 |
| |
-0.246879 |
| |
-0.247016 |
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-0.247032 |
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-0.247036 |
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-0.247036 |
| |
-0.247051 |
| |
-0.247070 |
| |
-0.247117 |
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-0.247248 |
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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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