|
|
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 |
| |
0.728804 |
| |
0.728766 |
| |
0.728732 |
| |
0.728725 |
| |
0.728715 |
| |
0.728654 |
| |
0.728612 |
| |
0.728604 |
| |
0.728571 |
| |
0.728543 |
| |
0.728428 |
| |
0.728416 |
| |
0.728393 |
| |
0.728360 |
| |
0.728341 |
| |
0.728322 |
| |
0.728245 |
| |
0.728186 |
| |
0.728067 |
| |
0.727817 |
| |
0.727730 |
| |
0.727730 |
| |
0.727596 |
| |
0.727312 |
| |
0.727241 |
|
|
|
|
|
 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.
|
