|
|
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 |
| |
-0.510110 |
| |
-0.510361 |
| |
-0.510361 |
| |
-0.510365 |
| |
-0.510388 |
| |
-0.510388 |
| |
-0.510460 |
| |
-0.510460 |
| |
-0.511038 |
| |
-0.511108 |
| |
-0.511117 |
| |
-0.511236 |
| |
-0.511364 |
| |
-0.511639 |
| |
-0.511673 |
| |
-0.511674 |
| |
-0.511739 |
| |
-0.511755 |
| |
-0.511822 |
| |
-0.512139 |
| |
-0.512388 |
| |
-0.512769 |
| |
-0.513052 |
| |
-0.513052 |
| |
-0.513281 |
|
|
|
|
|
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.
|