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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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0.506392 |
| |
0.506322 |
| |
0.505800 |
| |
0.505798 |
| |
0.505506 |
| |
0.505179 |
| |
0.505133 |
| |
0.505037 |
| |
0.504392 |
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0.504174 |
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0.503856 |
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0.503744 |
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0.503095 |
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0.501430 |
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0.501008 |
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0.500875 |
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0.500349 |
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0.500049 |
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0.498560 |
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0.497401 |
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0.497268 |
| |
0.497133 |
| |
0.497092 |
| |
0.497006 |
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0.495860 |
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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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