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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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0.915314 |
| |
0.915289 |
| |
0.915289 |
| |
0.915284 |
| |
0.915266 |
| |
0.915236 |
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0.915235 |
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0.915211 |
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0.915189 |
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0.915146 |
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0.915115 |
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0.915100 |
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0.915097 |
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0.915085 |
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0.915073 |
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0.915069 |
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0.915046 |
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0.915036 |
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0.915008 |
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0.914987 |
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0.914972 |
| |
0.914970 |
| |
0.914939 |
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0.914932 |
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0.914927 |
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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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