|
|
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 |
| |
0.243353 |
| |
0.243350 |
| |
0.243346 |
| |
0.243243 |
| |
0.243191 |
| |
0.243184 |
| |
0.243147 |
| |
0.243122 |
| |
0.243112 |
| |
0.243058 |
| |
0.243028 |
| |
0.243008 |
| |
0.243008 |
| |
0.242956 |
| |
0.242954 |
| |
0.242947 |
| |
0.242845 |
| |
0.242779 |
| |
0.242776 |
| |
0.242599 |
| |
0.242555 |
| |
0.242534 |
| |
0.242299 |
| |
0.242292 |
| |
0.242258 |
|
|
|
|
|
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.
|