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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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-0.474219 |
| |
-0.474243 |
| |
-0.474294 |
| |
-0.474306 |
| |
-0.474406 |
| |
-0.474445 |
| |
-0.474458 |
| |
-0.474476 |
| |
-0.474513 |
| |
-0.474518 |
| |
-0.474537 |
| |
-0.474614 |
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-0.474614 |
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-0.474620 |
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-0.474727 |
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-0.474748 |
| |
-0.474818 |
| |
-0.474834 |
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-0.474929 |
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-0.475021 |
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-0.475029 |
| |
-0.475068 |
| |
-0.475072 |
| |
-0.475135 |
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-0.475199 |
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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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