|
|
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 |
| |
0.580591 |
| |
0.580545 |
| |
0.580529 |
| |
0.580481 |
| |
0.580321 |
| |
0.580308 |
| |
0.580308 |
| |
0.580080 |
| |
0.580005 |
| |
0.579997 |
| |
0.579954 |
| |
0.579932 |
| |
0.579887 |
| |
0.579883 |
| |
0.579755 |
| |
0.579700 |
| |
0.579700 |
| |
0.579666 |
| |
0.579650 |
| |
0.579327 |
| |
0.579306 |
| |
0.579306 |
| |
0.579185 |
| |
0.579125 |
| |
0.579027 |
|
|
|
|
|
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.
|