|
|
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 |
| |
-0.447410 |
| |
-0.447412 |
| |
-0.447829 |
| |
-0.447885 |
| |
-0.447940 |
| |
-0.448220 |
| |
-0.448431 |
| |
-0.449209 |
| |
-0.449553 |
| |
-0.449962 |
| |
-0.450045 |
| |
-0.450184 |
| |
-0.450341 |
| |
-0.450421 |
| |
-0.450457 |
| |
-0.450921 |
| |
-0.451026 |
| |
-0.451115 |
| |
-0.451435 |
| |
-0.451517 |
| |
-0.451560 |
| |
-0.451735 |
| |
-0.451797 |
| |
-0.451813 |
| |
-0.451813 |
|
|
|
|
|
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.
|