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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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-0.233837 |
| |
-0.233869 |
| |
-0.233903 |
| |
-0.233915 |
| |
-0.233916 |
| |
-0.233949 |
| |
-0.233954 |
| |
-0.233972 |
| |
-0.233986 |
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-0.233996 |
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-0.234027 |
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-0.234030 |
| |
-0.234051 |
| |
-0.234065 |
| |
-0.234072 |
| |
-0.234097 |
| |
-0.234112 |
| |
-0.234155 |
| |
-0.234164 |
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-0.234200 |
| |
-0.234243 |
| |
-0.234302 |
| |
-0.234307 |
| |
-0.234335 |
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-0.234399 |
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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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