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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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-0.092011 |
| |
-0.092083 |
| |
-0.092272 |
| |
-0.092305 |
| |
-0.092584 |
| |
-0.092584 |
| |
-0.092711 |
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-0.092718 |
| |
-0.092761 |
| |
-0.092897 |
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-0.092971 |
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-0.092989 |
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-0.093027 |
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-0.093073 |
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-0.093146 |
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-0.093165 |
| |
-0.093251 |
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-0.093666 |
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-0.093713 |
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-0.094058 |
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-0.094078 |
| |
-0.094268 |
| |
-0.095141 |
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-0.095154 |
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-0.095160 |
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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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