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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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-0.742739 |
| |
-0.742927 |
| |
-0.742929 |
| |
-0.743066 |
| |
-0.743092 |
| |
-0.743092 |
| |
-0.743173 |
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-0.743271 |
| |
-0.743302 |
| |
-0.743327 |
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-0.743333 |
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-0.743391 |
| |
-0.743394 |
| |
-0.743443 |
| |
-0.743467 |
| |
-0.743487 |
| |
-0.743549 |
| |
-0.743558 |
| |
-0.743638 |
| |
-0.743687 |
| |
-0.743772 |
| |
-0.743810 |
| |
-0.743810 |
| |
-0.743828 |
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-0.743887 |
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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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