|
|
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 |
| |
0.468518 |
| |
0.468482 |
| |
0.468481 |
| |
0.468412 |
| |
0.468396 |
| |
0.468338 |
| |
0.468265 |
| |
0.468228 |
| |
0.468187 |
| |
0.468151 |
| |
0.467996 |
| |
0.467967 |
| |
0.467816 |
| |
0.467790 |
| |
0.467771 |
| |
0.467762 |
| |
0.467696 |
| |
0.467689 |
| |
0.467631 |
| |
0.467617 |
| |
0.467504 |
| |
0.467477 |
| |
0.467405 |
| |
0.467307 |
| |
0.467297 |
|
|
|
|
|
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.
|