|
|
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 |
| |
0.380594 |
| |
0.380569 |
| |
0.380569 |
| |
0.380549 |
| |
0.380534 |
| |
0.380514 |
| |
0.380477 |
| |
0.380162 |
| |
0.380158 |
| |
0.380100 |
| |
0.380093 |
| |
0.380029 |
| |
0.380029 |
| |
0.380023 |
| |
0.380023 |
| |
0.379920 |
| |
0.379915 |
| |
0.379877 |
| |
0.379812 |
| |
0.379775 |
| |
0.379561 |
| |
0.379546 |
| |
0.379447 |
| |
0.379407 |
| |
0.379382 |
|
|
|
|
|
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.
|