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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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-0.451443 |
| |
-0.451531 |
| |
-0.451704 |
| |
-0.451729 |
| |
-0.451752 |
| |
-0.451844 |
| |
-0.452193 |
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-0.452212 |
| |
-0.452334 |
| |
-0.452408 |
| |
-0.452640 |
| |
-0.452736 |
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-0.453055 |
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-0.453106 |
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-0.453216 |
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-0.453216 |
| |
-0.453283 |
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-0.453301 |
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-0.453462 |
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-0.453742 |
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-0.454151 |
| |
-0.454200 |
| |
-0.454234 |
| |
-0.454246 |
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-0.454364 |
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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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