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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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-0.466852 |
| |
-0.466928 |
| |
-0.466934 |
| |
-0.466981 |
| |
-0.467050 |
| |
-0.467136 |
| |
-0.467159 |
| |
-0.467183 |
| |
-0.467288 |
| |
-0.467343 |
| |
-0.467370 |
| |
-0.467397 |
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-0.467414 |
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-0.467421 |
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-0.467430 |
| |
-0.467477 |
| |
-0.467527 |
| |
-0.467531 |
| |
-0.467550 |
| |
-0.467561 |
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-0.467563 |
| |
-0.467564 |
| |
-0.467569 |
| |
-0.467575 |
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-0.467604 |
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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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