|
|
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 |
| |
0.703801 |
| |
0.703764 |
| |
0.703747 |
| |
0.703735 |
| |
0.703676 |
| |
0.703609 |
| |
0.703560 |
| |
0.703532 |
| |
0.703483 |
| |
0.703427 |
| |
0.703383 |
| |
0.703366 |
| |
0.703358 |
| |
0.703299 |
| |
0.703297 |
| |
0.703272 |
| |
0.703234 |
| |
0.703232 |
| |
0.703160 |
| |
0.703058 |
| |
0.703017 |
| |
0.703015 |
| |
0.703003 |
| |
0.702953 |
| |
0.702931 |
|
|
|
|
|
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.
|