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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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0.093676 |
| |
0.093661 |
| |
0.093646 |
| |
0.093631 |
| |
0.093595 |
| |
0.093589 |
| |
0.093482 |
| |
0.093467 |
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0.093450 |
| |
0.093445 |
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0.093442 |
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0.093430 |
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0.093399 |
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0.093398 |
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0.093373 |
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0.093313 |
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0.093286 |
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0.093272 |
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0.093259 |
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0.093224 |
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0.093144 |
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0.093086 |
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0.093050 |
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0.092923 |
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0.092881 |
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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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