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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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0.026389 |
| |
0.026289 |
| |
0.026159 |
| |
0.025949 |
| |
0.025947 |
| |
0.025905 |
| |
0.025626 |
| |
0.025361 |
| |
0.025307 |
| |
0.025307 |
| |
0.025237 |
| |
0.025228 |
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0.025220 |
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0.025197 |
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0.025155 |
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0.025150 |
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0.025023 |
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0.024987 |
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0.024972 |
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0.024774 |
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0.024751 |
| |
0.024663 |
| |
0.024473 |
| |
0.024404 |
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0.024360 |
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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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