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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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0.471890 |
| |
0.471771 |
| |
0.471717 |
| |
0.471601 |
| |
0.471448 |
| |
0.471261 |
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0.470760 |
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0.470705 |
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0.470213 |
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0.469732 |
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0.469671 |
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0.469663 |
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0.469663 |
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0.469564 |
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0.469525 |
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0.469525 |
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0.469259 |
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0.468825 |
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0.468773 |
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0.468449 |
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0.468449 |
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0.468433 |
| |
0.468231 |
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0.468207 |
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0.467949 |
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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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