|
|
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 |
| |
-0.661657 |
| |
-0.661657 |
| |
-0.661790 |
| |
-0.661842 |
| |
-0.662035 |
| |
-0.662035 |
| |
-0.662182 |
| |
-0.662290 |
| |
-0.662556 |
| |
-0.662685 |
| |
-0.663097 |
| |
-0.663742 |
| |
-0.664111 |
| |
-0.664323 |
| |
-0.664898 |
| |
-0.664984 |
| |
-0.664984 |
| |
-0.665289 |
| |
-0.665772 |
| |
-0.665772 |
| |
-0.666103 |
| |
-0.666334 |
| |
-0.666438 |
| |
-0.666513 |
| |
-0.667780 |
|
|
|
|
|
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.
|