|
|
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 |
| |
-0.694466 |
| |
-0.694475 |
| |
-0.694483 |
| |
-0.694614 |
| |
-0.694760 |
| |
-0.694789 |
| |
-0.694832 |
| |
-0.694874 |
| |
-0.694948 |
| |
-0.695155 |
| |
-0.695167 |
| |
-0.695214 |
| |
-0.695306 |
| |
-0.695350 |
| |
-0.695367 |
| |
-0.695414 |
| |
-0.695414 |
| |
-0.695424 |
| |
-0.695455 |
| |
-0.695535 |
| |
-0.695535 |
| |
-0.695630 |
| |
-0.695645 |
| |
-0.695645 |
| |
-0.695705 |
|
|
|
|
|
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.
|