|
|
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 |
| |
0.528374 |
| |
0.528318 |
| |
0.528300 |
| |
0.528267 |
| |
0.528224 |
| |
0.528224 |
| |
0.527923 |
| |
0.527818 |
| |
0.527641 |
| |
0.527641 |
| |
0.527522 |
| |
0.527495 |
| |
0.527323 |
| |
0.527318 |
| |
0.527267 |
| |
0.527147 |
| |
0.527068 |
| |
0.527040 |
| |
0.526995 |
| |
0.526971 |
| |
0.526960 |
| |
0.526960 |
| |
0.526812 |
| |
0.526768 |
| |
0.526766 |
|
|
|
|
|
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.
|