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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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-0.125049 |
| |
-0.125057 |
| |
-0.125061 |
| |
-0.125110 |
| |
-0.125178 |
| |
-0.125295 |
| |
-0.125436 |
| |
-0.125451 |
| |
-0.125494 |
| |
-0.125495 |
| |
-0.125578 |
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-0.125617 |
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-0.125621 |
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-0.125622 |
| |
-0.125637 |
| |
-0.125688 |
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-0.125927 |
| |
-0.125957 |
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-0.126015 |
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-0.126064 |
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-0.126137 |
| |
-0.126141 |
| |
-0.126153 |
| |
-0.126166 |
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-0.126189 |
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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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