|
|
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 |
| |
0.191675 |
| |
0.191520 |
| |
0.191517 |
| |
0.191376 |
| |
0.191328 |
| |
0.191326 |
| |
0.191234 |
| |
0.190982 |
| |
0.190974 |
| |
0.190894 |
| |
0.190656 |
| |
0.190646 |
| |
0.190531 |
| |
0.190418 |
| |
0.190350 |
| |
0.190212 |
| |
0.190208 |
| |
0.190143 |
| |
0.190002 |
| |
0.189619 |
| |
0.189396 |
| |
0.189174 |
| |
0.189076 |
| |
0.189003 |
| |
0.188812 |
|
|
|
|
|
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.
|