|
|
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 |
| |
0.397458 |
| |
0.397447 |
| |
0.397405 |
| |
0.397298 |
| |
0.397233 |
| |
0.396934 |
| |
0.396825 |
| |
0.396799 |
| |
0.396772 |
| |
0.396755 |
| |
0.396612 |
| |
0.396545 |
| |
0.396391 |
| |
0.396377 |
| |
0.396304 |
| |
0.396289 |
| |
0.396118 |
| |
0.395949 |
| |
0.395935 |
| |
0.395904 |
| |
0.395694 |
| |
0.395592 |
| |
0.395495 |
| |
0.395481 |
| |
0.395400 |
|
|
|
|
|
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.
|