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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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0.823657 |
| |
0.823650 |
| |
0.823496 |
| |
0.823471 |
| |
0.823396 |
| |
0.823333 |
| |
0.823289 |
| |
0.823237 |
| |
0.823169 |
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0.823156 |
| |
0.823143 |
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0.823119 |
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0.823115 |
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0.823091 |
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0.823052 |
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0.822950 |
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0.822949 |
| |
0.822944 |
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0.822921 |
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0.822858 |
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0.822848 |
| |
0.822821 |
| |
0.822768 |
| |
0.822758 |
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0.822700 |
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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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