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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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0.079497 |
| |
0.079340 |
| |
0.079312 |
| |
0.079297 |
| |
0.079161 |
| |
0.078977 |
| |
0.078919 |
| |
0.078715 |
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0.078638 |
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0.078614 |
| |
0.078545 |
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0.078396 |
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0.078343 |
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0.078329 |
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0.078213 |
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0.078199 |
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0.078198 |
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0.078184 |
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0.078154 |
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0.077938 |
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0.077878 |
| |
0.077865 |
| |
0.077769 |
| |
0.077708 |
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0.077703 |
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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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