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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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0.203120 |
| |
0.203116 |
| |
0.203103 |
| |
0.203103 |
| |
0.203048 |
| |
0.203032 |
| |
0.203029 |
| |
0.203026 |
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0.202970 |
| |
0.202895 |
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0.202833 |
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0.202716 |
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0.202682 |
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0.202610 |
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0.202608 |
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0.202588 |
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0.202510 |
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0.202456 |
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0.202386 |
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0.202243 |
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0.202238 |
| |
0.202223 |
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0.202186 |
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0.202099 |
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0.202098 |
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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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