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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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0.719818 |
| |
0.719745 |
| |
0.719706 |
| |
0.719610 |
| |
0.719547 |
| |
0.719475 |
| |
0.719431 |
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0.719114 |
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0.718964 |
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0.718651 |
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0.718536 |
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0.718357 |
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0.718348 |
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0.718272 |
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0.718218 |
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0.718186 |
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0.718070 |
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0.718007 |
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0.718006 |
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0.717841 |
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0.717688 |
| |
0.717069 |
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0.716959 |
| |
0.716923 |
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0.716886 |
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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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