|
|
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 |
| |
0.320752 |
| |
0.320731 |
| |
0.320717 |
| |
0.320677 |
| |
0.320574 |
| |
0.320574 |
| |
0.320444 |
| |
0.320306 |
| |
0.320297 |
| |
0.320237 |
| |
0.320205 |
| |
0.320153 |
| |
0.320147 |
| |
0.320123 |
| |
0.320100 |
| |
0.320037 |
| |
0.320034 |
| |
0.319986 |
| |
0.319901 |
| |
0.319881 |
| |
0.319813 |
| |
0.319640 |
| |
0.319635 |
| |
0.319625 |
| |
0.319403 |
|
|
|
|
|
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.
|