|
|
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 |
| |
0.325185 |
| |
0.325016 |
| |
0.324971 |
| |
0.324964 |
| |
0.324850 |
| |
0.324829 |
| |
0.324775 |
| |
0.324775 |
| |
0.324705 |
| |
0.324629 |
| |
0.324617 |
| |
0.324506 |
| |
0.324420 |
| |
0.324412 |
| |
0.324320 |
| |
0.324300 |
| |
0.324300 |
| |
0.324299 |
| |
0.324159 |
| |
0.324092 |
| |
0.324082 |
| |
0.324048 |
| |
0.324007 |
| |
0.323912 |
| |
0.323893 |
|
|
|
|
|
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.
|