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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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0.794420 |
| |
0.794335 |
| |
0.794194 |
| |
0.794095 |
| |
0.794058 |
| |
0.794037 |
| |
0.794010 |
| |
0.793946 |
| |
0.793946 |
| |
0.793813 |
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0.793760 |
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0.793759 |
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0.793743 |
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0.793658 |
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0.793657 |
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0.793615 |
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0.793599 |
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0.793568 |
| |
0.793551 |
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0.793551 |
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0.793423 |
| |
0.793423 |
| |
0.793318 |
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0.793162 |
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0.793158 |
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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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