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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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0.662204 |
| |
0.662176 |
| |
0.662169 |
| |
0.662083 |
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0.661933 |
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0.661933 |
| |
0.661899 |
| |
0.661881 |
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0.661747 |
| |
0.661716 |
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0.661696 |
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0.661632 |
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0.661587 |
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0.661541 |
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0.661374 |
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0.661342 |
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0.661327 |
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0.661323 |
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0.661301 |
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0.661257 |
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0.661195 |
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0.661096 |
| |
0.661093 |
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0.661091 |
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0.661061 |
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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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