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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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-0.259580 |
| |
-0.259620 |
| |
-0.259627 |
| |
-0.259667 |
| |
-0.259685 |
| |
-0.259758 |
| |
-0.259780 |
| |
-0.259799 |
| |
-0.259801 |
| |
-0.259802 |
| |
-0.259803 |
| |
-0.259804 |
| |
-0.259874 |
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-0.259905 |
| |
-0.259925 |
| |
-0.259957 |
| |
-0.260056 |
| |
-0.260111 |
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-0.260112 |
| |
-0.260151 |
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-0.260162 |
| |
-0.260167 |
| |
-0.260228 |
| |
-0.260305 |
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-0.260357 |
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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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