|
|
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 |
| |
0.118945 |
| |
0.118808 |
| |
0.118694 |
| |
0.118686 |
| |
0.118676 |
| |
0.118645 |
| |
0.118624 |
| |
0.118624 |
| |
0.118563 |
| |
0.118542 |
| |
0.118539 |
| |
0.118532 |
| |
0.118408 |
| |
0.118406 |
| |
0.118334 |
| |
0.118329 |
| |
0.118329 |
| |
0.118254 |
| |
0.118178 |
| |
0.118116 |
| |
0.118102 |
| |
0.118052 |
| |
0.117943 |
| |
0.117905 |
| |
0.117881 |
|
|
|
|
|
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.
|