|
|
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 |
| |
0.132465 |
| |
0.132358 |
| |
0.132284 |
| |
0.132278 |
| |
0.132188 |
| |
0.132169 |
| |
0.132131 |
| |
0.132122 |
| |
0.132104 |
| |
0.132070 |
| |
0.132003 |
| |
0.131834 |
| |
0.131645 |
| |
0.131609 |
| |
0.131514 |
| |
0.131372 |
| |
0.131372 |
| |
0.131181 |
| |
0.130934 |
| |
0.130923 |
| |
0.130858 |
| |
0.130730 |
| |
0.130714 |
| |
0.130711 |
| |
0.130606 |
|
|
|
|
|
 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.
|
