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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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0.923134 |
| |
0.923069 |
| |
0.923049 |
| |
0.923029 |
| |
0.922934 |
| |
0.922812 |
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0.922543 |
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0.921568 |
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0.920987 |
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0.920670 |
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0.920263 |
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0.920097 |
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0.919677 |
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0.919423 |
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0.919067 |
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0.918958 |
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0.918315 |
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0.917817 |
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0.917108 |
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0.917066 |
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0.916894 |
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0.916561 |
| |
0.916267 |
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0.916247 |
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0.915957 |
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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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