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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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0.000628 |
| |
0.000593 |
| |
0.000579 |
| |
0.000575 |
| |
0.000485 |
| |
0.000472 |
| |
0.000431 |
| |
0.000430 |
| |
0.000417 |
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0.000351 |
| |
0.000341 |
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0.000341 |
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0.000301 |
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0.000275 |
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0.000206 |
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0.000103 |
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0.000069 |
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0.000038 |
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-0.000027 |
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-0.000096 |
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-0.000131 |
| |
-0.000220 |
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-0.000265 |
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-0.000266 |
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-0.000278 |
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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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