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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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0.515796 |
| |
0.515758 |
| |
0.515730 |
| |
0.515627 |
| |
0.515530 |
| |
0.515419 |
| |
0.515410 |
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0.515315 |
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0.515224 |
| |
0.515143 |
| |
0.515141 |
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0.515118 |
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0.515026 |
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0.514967 |
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0.514726 |
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0.514553 |
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0.514503 |
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0.514454 |
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0.514320 |
| |
0.514317 |
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0.514174 |
| |
0.514160 |
| |
0.514095 |
| |
0.514054 |
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0.514032 |
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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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