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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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0.198123 |
| |
0.198030 |
| |
0.198030 |
| |
0.198004 |
| |
0.197953 |
| |
0.197953 |
| |
0.197906 |
| |
0.197896 |
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0.197850 |
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0.197850 |
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0.197783 |
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0.197783 |
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0.197782 |
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0.197770 |
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0.197721 |
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0.197718 |
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0.197532 |
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0.197500 |
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0.197494 |
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0.197491 |
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0.197446 |
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0.197431 |
| |
0.197421 |
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0.197421 |
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0.197329 |
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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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