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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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0.940870 |
| |
0.940658 |
| |
0.940510 |
| |
0.940429 |
| |
0.940398 |
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0.940384 |
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0.940346 |
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0.940110 |
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0.940009 |
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0.939986 |
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0.939399 |
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0.939102 |
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0.939079 |
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0.938939 |
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0.938935 |
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0.938834 |
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0.938787 |
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0.938486 |
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0.938397 |
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0.938356 |
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0.938302 |
| |
0.938295 |
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0.938178 |
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0.938148 |
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0.938077 |
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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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