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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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0.905442 |
| |
0.905095 |
| |
0.904957 |
| |
0.904908 |
| |
0.904790 |
| |
0.904720 |
| |
0.904601 |
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0.904466 |
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0.904225 |
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0.903703 |
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0.903703 |
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0.903623 |
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0.903568 |
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0.903503 |
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0.903503 |
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0.903363 |
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0.903255 |
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0.903158 |
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0.902912 |
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0.902881 |
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0.902857 |
| |
0.902547 |
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0.902440 |
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0.902217 |
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0.902217 |
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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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