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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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0.725911 |
| |
0.725885 |
| |
0.725726 |
| |
0.725526 |
| |
0.725516 |
| |
0.725500 |
| |
0.725480 |
| |
0.724820 |
| |
0.724797 |
| |
0.724606 |
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0.724328 |
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0.724238 |
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0.724144 |
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0.723923 |
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0.723695 |
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0.723676 |
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0.723665 |
| |
0.723576 |
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0.723420 |
| |
0.723364 |
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0.723232 |
| |
0.723144 |
| |
0.723139 |
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0.723061 |
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0.722900 |
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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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