|
|
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 |
| |
0.740886 |
| |
0.740854 |
| |
0.740852 |
| |
0.740582 |
| |
0.740576 |
| |
0.740521 |
| |
0.740465 |
| |
0.740465 |
| |
0.740452 |
| |
0.740369 |
| |
0.740296 |
| |
0.740045 |
| |
0.740035 |
| |
0.739751 |
| |
0.739620 |
| |
0.739270 |
| |
0.738961 |
| |
0.738929 |
| |
0.738734 |
| |
0.738686 |
| |
0.738543 |
| |
0.738543 |
| |
0.738305 |
| |
0.738243 |
| |
0.738202 |
|
|
|
|
|
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.
|