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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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-0.293384 |
| |
-0.293421 |
| |
-0.293491 |
| |
-0.293518 |
| |
-0.293614 |
| |
-0.293671 |
| |
-0.293733 |
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-0.293839 |
| |
-0.293914 |
| |
-0.293973 |
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-0.293985 |
| |
-0.294016 |
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-0.294069 |
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-0.294077 |
| |
-0.294100 |
| |
-0.294139 |
| |
-0.294249 |
| |
-0.294266 |
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-0.294275 |
| |
-0.294275 |
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-0.294352 |
| |
-0.294361 |
| |
-0.294387 |
| |
-0.294397 |
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-0.294535 |
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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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