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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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0.154395 |
| |
0.154226 |
| |
0.154220 |
| |
0.154047 |
| |
0.154030 |
| |
0.153980 |
| |
0.153980 |
| |
0.153958 |
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0.153953 |
| |
0.153839 |
| |
0.153751 |
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0.153667 |
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0.153667 |
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0.153601 |
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0.153579 |
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0.153150 |
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0.153106 |
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0.153101 |
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0.152961 |
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0.152954 |
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0.152938 |
| |
0.152928 |
| |
0.152884 |
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0.152794 |
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0.152709 |
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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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