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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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-0.437488 |
| |
-0.437842 |
| |
-0.438558 |
| |
-0.438792 |
| |
-0.438829 |
| |
-0.438838 |
| |
-0.439388 |
| |
-0.439526 |
| |
-0.439541 |
| |
-0.439575 |
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-0.439752 |
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-0.439801 |
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-0.440102 |
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-0.440912 |
| |
-0.441075 |
| |
-0.441474 |
| |
-0.441757 |
| |
-0.441977 |
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-0.442202 |
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-0.442239 |
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-0.442330 |
| |
-0.442346 |
| |
-0.442567 |
| |
-0.442582 |
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-0.442679 |
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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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