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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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0.928973 |
| |
0.928962 |
| |
0.928962 |
| |
0.928757 |
| |
0.928657 |
| |
0.928655 |
| |
0.928635 |
| |
0.928538 |
| |
0.928393 |
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0.928088 |
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0.927966 |
| |
0.927913 |
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0.927858 |
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0.927641 |
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0.927500 |
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0.927426 |
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0.926651 |
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0.926252 |
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0.926218 |
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0.925991 |
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0.925960 |
| |
0.925736 |
| |
0.925559 |
| |
0.925510 |
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0.925507 |
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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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