|
|
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 |
| |
0.368530 |
| |
0.368061 |
| |
0.367855 |
| |
0.367630 |
| |
0.367493 |
| |
0.367466 |
| |
0.367435 |
| |
0.367413 |
| |
0.367190 |
| |
0.367156 |
| |
0.367121 |
| |
0.366793 |
| |
0.366663 |
| |
0.366342 |
| |
0.366252 |
| |
0.365796 |
| |
0.365607 |
| |
0.365245 |
| |
0.364735 |
| |
0.364732 |
| |
0.364703 |
| |
0.364477 |
| |
0.364427 |
| |
0.364378 |
| |
0.364361 |
|
|
|
|
|
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.
|