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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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0.517482 |
| |
0.517403 |
| |
0.517383 |
| |
0.517374 |
| |
0.517281 |
| |
0.517187 |
| |
0.517186 |
| |
0.517151 |
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0.517137 |
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0.517075 |
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0.516887 |
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0.516853 |
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0.516806 |
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0.516799 |
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0.516573 |
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0.516551 |
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0.516503 |
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0.516443 |
| |
0.516374 |
| |
0.516278 |
| |
0.516262 |
| |
0.516232 |
| |
0.516055 |
| |
0.515954 |
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0.515939 |
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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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