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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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-0.604213 |
| |
-0.604226 |
| |
-0.604313 |
| |
-0.604337 |
| |
-0.604453 |
| |
-0.604475 |
| |
-0.604612 |
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-0.604612 |
| |
-0.604676 |
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-0.604713 |
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-0.604719 |
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-0.604798 |
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-0.604798 |
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-0.604830 |
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-0.604953 |
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-0.604954 |
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-0.605093 |
| |
-0.605137 |
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-0.605144 |
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-0.605163 |
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-0.605163 |
| |
-0.605195 |
| |
-0.605209 |
| |
-0.605223 |
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-0.605233 |
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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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