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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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-0.261182 |
| |
-0.261222 |
| |
-0.261291 |
| |
-0.261471 |
| |
-0.261500 |
| |
-0.261634 |
| |
-0.261696 |
| |
-0.261711 |
| |
-0.261727 |
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-0.261760 |
| |
-0.261853 |
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-0.261991 |
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-0.262053 |
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-0.262102 |
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-0.262343 |
| |
-0.262399 |
| |
-0.262591 |
| |
-0.262910 |
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-0.262970 |
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-0.263047 |
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-0.263201 |
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-0.263204 |
| |
-0.263233 |
| |
-0.263344 |
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-0.263446 |
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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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