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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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0.952952 |
| |
0.952903 |
| |
0.952679 |
| |
0.952678 |
| |
0.952312 |
| |
0.952217 |
| |
0.952125 |
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0.952122 |
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0.951803 |
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0.951789 |
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0.951698 |
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0.951620 |
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0.951395 |
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0.950662 |
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0.950654 |
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0.950569 |
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0.950439 |
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0.950373 |
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0.950276 |
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0.950023 |
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0.949873 |
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0.949826 |
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0.949708 |
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0.949227 |
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0.949067 |
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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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