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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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0.940409 |
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0.940333 |
| |
0.940158 |
| |
0.940068 |
| |
0.939835 |
| |
0.939696 |
| |
0.939655 |
| |
0.939550 |
| |
0.939445 |
| |
0.939428 |
| |
0.939361 |
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0.939316 |
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0.939281 |
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0.939177 |
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0.939125 |
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0.939040 |
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0.938912 |
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0.938868 |
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0.938781 |
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0.938728 |
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0.938456 |
| |
0.938437 |
| |
0.938381 |
| |
0.938370 |
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0.938340 |
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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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