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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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0.454378 |
| |
0.454218 |
| |
0.454200 |
| |
0.454156 |
| |
0.454134 |
| |
0.454053 |
| |
0.454042 |
| |
0.454014 |
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0.453942 |
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0.453876 |
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0.453875 |
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0.453819 |
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0.453783 |
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0.453772 |
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0.453644 |
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0.453630 |
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0.453560 |
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0.453492 |
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0.453415 |
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0.453396 |
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0.453322 |
| |
0.453322 |
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0.453236 |
| |
0.453234 |
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0.453156 |
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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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