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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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0.926646 |
| |
0.926371 |
| |
0.926247 |
| |
0.926069 |
| |
0.926039 |
| |
0.925834 |
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0.925597 |
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0.925468 |
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0.925410 |
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0.925409 |
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0.925259 |
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0.924804 |
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0.924606 |
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0.924468 |
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0.924361 |
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0.924267 |
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0.924188 |
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0.923901 |
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0.923886 |
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0.923885 |
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0.923581 |
| |
0.922893 |
| |
0.922782 |
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0.922589 |
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0.922509 |
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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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