|
|
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.
|
|
|
|
| Symbol | Correlation |
| |
-0.633985 |
| |
-0.634152 |
| |
-0.634175 |
| |
-0.634184 |
| |
-0.634423 |
| |
-0.634428 |
| |
-0.634488 |
| |
-0.634586 |
| |
-0.634797 |
| |
-0.634797 |
| |
-0.634847 |
| |
-0.635063 |
| |
-0.635076 |
| |
-0.635087 |
| |
-0.635094 |
| |
-0.635162 |
| |
-0.635212 |
| |
-0.635228 |
| |
-0.635233 |
| |
-0.635341 |
| |
-0.635388 |
| |
-0.635490 |
| |
-0.635512 |
| |
-0.635543 |
| |
-0.635721 |
|
|
|
|
|
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.
|