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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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0.915829 |
| |
0.915817 |
| |
0.915769 |
| |
0.915751 |
| |
0.915391 |
| |
0.915314 |
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0.915255 |
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0.915207 |
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0.915171 |
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0.915160 |
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0.915158 |
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0.915124 |
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0.915058 |
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0.915002 |
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0.914949 |
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0.914852 |
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0.914844 |
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0.914813 |
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0.914801 |
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0.914553 |
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0.914472 |
| |
0.914450 |
| |
0.914445 |
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0.914320 |
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0.914307 |
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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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