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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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-0.418560 |
| |
-0.418578 |
| |
-0.418811 |
| |
-0.418823 |
| |
-0.418847 |
| |
-0.419034 |
| |
-0.419067 |
| |
-0.419143 |
| |
-0.419158 |
| |
-0.419241 |
| |
-0.419308 |
| |
-0.419326 |
| |
-0.419327 |
| |
-0.419395 |
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-0.419426 |
| |
-0.419639 |
| |
-0.419664 |
| |
-0.419714 |
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-0.419776 |
| |
-0.419788 |
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-0.420006 |
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-0.420119 |
| |
-0.420168 |
| |
-0.420190 |
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-0.420277 |
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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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