|
|
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 |
| |
0.471045 |
| |
0.471033 |
| |
0.471018 |
| |
0.470846 |
| |
0.470790 |
| |
0.470746 |
| |
0.470629 |
| |
0.470583 |
| |
0.470548 |
| |
0.470536 |
| |
0.470525 |
| |
0.470522 |
| |
0.470508 |
| |
0.470464 |
| |
0.470372 |
| |
0.470331 |
| |
0.470244 |
| |
0.470217 |
| |
0.470214 |
| |
0.470207 |
| |
0.470200 |
| |
0.470198 |
| |
0.470160 |
| |
0.470160 |
| |
0.470140 |
|
|
|
|
|
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.
|