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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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-0.538696 |
| |
-0.538711 |
| |
-0.538925 |
| |
-0.539106 |
| |
-0.539418 |
| |
-0.539422 |
| |
-0.539441 |
| |
-0.539499 |
| |
-0.539501 |
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-0.539572 |
| |
-0.539641 |
| |
-0.539647 |
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-0.539648 |
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-0.539714 |
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-0.539800 |
| |
-0.539809 |
| |
-0.539810 |
| |
-0.539812 |
| |
-0.539846 |
| |
-0.539856 |
| |
-0.539895 |
| |
-0.539909 |
| |
-0.540047 |
| |
-0.540067 |
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-0.540093 |
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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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