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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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0.957402 |
| |
0.957391 |
| |
0.957338 |
| |
0.957327 |
| |
0.957300 |
| |
0.957232 |
| |
0.957224 |
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0.957078 |
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0.957048 |
| |
0.956823 |
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0.956748 |
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0.956748 |
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0.956734 |
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0.956561 |
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0.956430 |
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0.956363 |
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0.956262 |
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0.956180 |
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0.956173 |
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0.956026 |
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0.956015 |
| |
0.955979 |
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0.955809 |
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0.955783 |
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0.955580 |
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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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