|
|
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 |
| |
0.922656 |
| |
0.922626 |
| |
0.922568 |
| |
0.922564 |
| |
0.922506 |
| |
0.922441 |
| |
0.922430 |
| |
0.922422 |
| |
0.922369 |
| |
0.922359 |
| |
0.922358 |
| |
0.922251 |
| |
0.922249 |
| |
0.922239 |
| |
0.922230 |
| |
0.922215 |
| |
0.922193 |
| |
0.922168 |
| |
0.922166 |
| |
0.922161 |
| |
0.922129 |
| |
0.922106 |
| |
0.922093 |
| |
0.922076 |
| |
0.922060 |
|
|
|
|
|
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.
|