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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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-0.423631 |
| |
-0.423639 |
| |
-0.423784 |
| |
-0.423797 |
| |
-0.423822 |
| |
-0.424048 |
| |
-0.424048 |
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-0.424075 |
| |
-0.424604 |
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-0.424810 |
| |
-0.424823 |
| |
-0.424843 |
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-0.424843 |
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-0.424935 |
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-0.424993 |
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-0.425205 |
| |
-0.425377 |
| |
-0.425403 |
| |
-0.425424 |
| |
-0.425459 |
| |
-0.425537 |
| |
-0.425715 |
| |
-0.425856 |
| |
-0.425917 |
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-0.425941 |
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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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