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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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0.394202 |
| |
0.394202 |
| |
0.394139 |
| |
0.394123 |
| |
0.394106 |
| |
0.394071 |
| |
0.393958 |
| |
0.393902 |
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0.393859 |
| |
0.393778 |
| |
0.393777 |
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0.393707 |
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0.393615 |
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0.393596 |
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0.393560 |
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0.393361 |
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0.393301 |
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0.393275 |
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0.393224 |
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0.393193 |
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0.393193 |
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0.393186 |
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0.392949 |
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0.392946 |
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0.392934 |
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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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