|
|
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 |
| |
0.902023 |
| |
0.901870 |
| |
0.901848 |
| |
0.901789 |
| |
0.901784 |
| |
0.901735 |
| |
0.901478 |
| |
0.901344 |
| |
0.901330 |
| |
0.901309 |
| |
0.901228 |
| |
0.901136 |
| |
0.901118 |
| |
0.901104 |
| |
0.900976 |
| |
0.900880 |
| |
0.900818 |
| |
0.900779 |
| |
0.900705 |
| |
0.900703 |
| |
0.900432 |
| |
0.900364 |
| |
0.900350 |
| |
0.900189 |
| |
0.900176 |
|
|
|
|
|
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.
|