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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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-0.288280 |
| |
-0.288318 |
| |
-0.288350 |
| |
-0.288436 |
| |
-0.288598 |
| |
-0.288600 |
| |
-0.288664 |
| |
-0.288698 |
| |
-0.288752 |
| |
-0.288764 |
| |
-0.288802 |
| |
-0.288896 |
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-0.288899 |
| |
-0.288911 |
| |
-0.288914 |
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-0.288916 |
| |
-0.289142 |
| |
-0.289149 |
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-0.289270 |
| |
-0.289273 |
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-0.289305 |
| |
-0.289340 |
| |
-0.289387 |
| |
-0.289435 |
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-0.289474 |
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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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