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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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-0.594450 |
| |
-0.594510 |
| |
-0.594621 |
| |
-0.594658 |
| |
-0.594714 |
| |
-0.594839 |
| |
-0.594905 |
| |
-0.594910 |
| |
-0.594943 |
| |
-0.594946 |
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-0.594975 |
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-0.595000 |
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-0.595001 |
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-0.595036 |
| |
-0.595054 |
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-0.595072 |
| |
-0.595131 |
| |
-0.595144 |
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-0.595202 |
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-0.595204 |
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-0.595225 |
| |
-0.595279 |
| |
-0.595323 |
| |
-0.595350 |
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-0.595360 |
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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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