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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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-0.434829 |
| |
-0.434931 |
| |
-0.434932 |
| |
-0.434973 |
| |
-0.435037 |
| |
-0.435115 |
| |
-0.435115 |
| |
-0.435519 |
| |
-0.435685 |
| |
-0.435705 |
| |
-0.435711 |
| |
-0.435844 |
| |
-0.435919 |
| |
-0.435953 |
| |
-0.435968 |
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-0.436054 |
| |
-0.436258 |
| |
-0.436376 |
| |
-0.436397 |
| |
-0.436456 |
| |
-0.436508 |
| |
-0.436602 |
| |
-0.436785 |
| |
-0.436828 |
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-0.436829 |
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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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