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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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0.922111 |
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0.922109 |
| |
0.922095 |
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0.922075 |
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0.921999 |
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0.921999 |
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0.921994 |
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0.921897 |
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0.921832 |
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0.921830 |
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0.921814 |
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0.921804 |
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0.921783 |
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0.921755 |
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0.921698 |
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0.921675 |
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0.921662 |
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0.921626 |
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0.921603 |
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0.921589 |
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0.921580 |
| |
0.921557 |
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0.921556 |
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0.921519 |
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0.921445 |
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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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