|
|
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 |
| |
0.226201 |
| |
0.226095 |
| |
0.226091 |
| |
0.226001 |
| |
0.226001 |
| |
0.225875 |
| |
0.225834 |
| |
0.225802 |
| |
0.225735 |
| |
0.225735 |
| |
0.225696 |
| |
0.225674 |
| |
0.225594 |
| |
0.225592 |
| |
0.225517 |
| |
0.225460 |
| |
0.225441 |
| |
0.225320 |
| |
0.225296 |
| |
0.225293 |
| |
0.225273 |
| |
0.225232 |
| |
0.225198 |
| |
0.225176 |
| |
0.225176 |
|
|
|
|
|
 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.
|
