|
|
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 |
| |
0.074395 |
| |
0.074345 |
| |
0.074285 |
| |
0.073654 |
| |
0.073653 |
| |
0.073507 |
| |
0.073194 |
| |
0.073059 |
| |
0.072731 |
| |
0.072356 |
| |
0.072292 |
| |
0.072258 |
| |
0.072151 |
| |
0.072142 |
| |
0.072046 |
| |
0.071889 |
| |
0.071878 |
| |
0.071878 |
| |
0.071697 |
| |
0.071511 |
| |
0.070896 |
| |
0.070823 |
| |
0.070643 |
| |
0.070643 |
| |
0.070600 |
|
|
|
|
|
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.
|