|
|
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 |
| |
0.295046 |
| |
0.294902 |
| |
0.294711 |
| |
0.294690 |
| |
0.294617 |
| |
0.294575 |
| |
0.294510 |
| |
0.294482 |
| |
0.294473 |
| |
0.294467 |
| |
0.294425 |
| |
0.294420 |
| |
0.294322 |
| |
0.294210 |
| |
0.294159 |
| |
0.294157 |
| |
0.294119 |
| |
0.294115 |
| |
0.293966 |
| |
0.293950 |
| |
0.293840 |
| |
0.293828 |
| |
0.293758 |
| |
0.293699 |
| |
0.293596 |
|
|
|
|
|
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.
|