|
|
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 |
| |
-0.524825 |
| |
-0.525169 |
| |
-0.525345 |
| |
-0.525423 |
| |
-0.525489 |
| |
-0.525499 |
| |
-0.525734 |
| |
-0.525762 |
| |
-0.525783 |
| |
-0.526274 |
| |
-0.526507 |
| |
-0.526512 |
| |
-0.526593 |
| |
-0.526677 |
| |
-0.526779 |
| |
-0.526815 |
| |
-0.526815 |
| |
-0.526985 |
| |
-0.527080 |
| |
-0.527106 |
| |
-0.527260 |
| |
-0.527269 |
| |
-0.527850 |
| |
-0.528302 |
| |
-0.528357 |
|
|
|
|
|
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.
|