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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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0.926748 |
| |
0.926514 |
| |
0.926032 |
| |
0.925743 |
| |
0.925620 |
| |
0.925016 |
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0.924967 |
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0.924809 |
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0.924805 |
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0.924299 |
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0.924181 |
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0.924100 |
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0.924066 |
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0.923988 |
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0.923944 |
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0.923930 |
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0.923379 |
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0.922878 |
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0.922734 |
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0.922559 |
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0.922531 |
| |
0.922511 |
| |
0.922342 |
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0.922222 |
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0.922159 |
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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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