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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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-0.551491 |
| |
-0.551494 |
| |
-0.551607 |
| |
-0.551756 |
| |
-0.551846 |
| |
-0.551870 |
| |
-0.552017 |
| |
-0.552117 |
| |
-0.552146 |
| |
-0.552164 |
| |
-0.552177 |
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-0.552246 |
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-0.552288 |
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-0.552288 |
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-0.552304 |
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-0.552364 |
| |
-0.552386 |
| |
-0.552465 |
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-0.552530 |
| |
-0.552583 |
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-0.552587 |
| |
-0.552617 |
| |
-0.552732 |
| |
-0.552735 |
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-0.552790 |
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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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