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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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0.195193 |
| |
0.195111 |
| |
0.195047 |
| |
0.194997 |
| |
0.194934 |
| |
0.194934 |
| |
0.194930 |
| |
0.194807 |
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0.194794 |
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0.194715 |
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0.194682 |
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0.194521 |
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0.194515 |
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0.194498 |
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0.194480 |
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0.194476 |
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0.194369 |
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0.194343 |
| |
0.194263 |
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0.194244 |
| |
0.194199 |
| |
0.194082 |
| |
0.194031 |
| |
0.194015 |
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0.194015 |
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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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