|
|
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 |
| |
0.958774 |
| |
0.958636 |
| |
0.958221 |
| |
0.958016 |
| |
0.958001 |
| |
0.957967 |
| |
0.957966 |
| |
0.957912 |
| |
0.957745 |
| |
0.957631 |
| |
0.957600 |
| |
0.957591 |
| |
0.957583 |
| |
0.957541 |
| |
0.957517 |
| |
0.957495 |
| |
0.957416 |
| |
0.957350 |
| |
0.957341 |
| |
0.957311 |
| |
0.956936 |
| |
0.956747 |
| |
0.956540 |
| |
0.956402 |
| |
0.956344 |
|
|
|
|
|
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.
|