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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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0.785690 |
| |
0.785594 |
| |
0.785517 |
| |
0.785476 |
| |
0.785462 |
| |
0.785446 |
| |
0.785446 |
| |
0.785431 |
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0.785359 |
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0.785337 |
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0.785303 |
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0.785175 |
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0.785168 |
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0.785143 |
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0.785098 |
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0.785074 |
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0.785074 |
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0.785025 |
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0.784942 |
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0.784914 |
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0.784865 |
| |
0.784718 |
| |
0.784628 |
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0.784338 |
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0.784329 |
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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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