|
|
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 |
| |
0.906005 |
| |
0.905949 |
| |
0.905723 |
| |
0.905596 |
| |
0.905584 |
| |
0.905485 |
| |
0.904911 |
| |
0.904296 |
| |
0.903946 |
| |
0.903923 |
| |
0.903655 |
| |
0.903649 |
| |
0.903435 |
| |
0.903416 |
| |
0.903292 |
| |
0.903270 |
| |
0.903232 |
| |
0.903216 |
| |
0.903192 |
| |
0.903030 |
| |
0.902249 |
| |
0.901795 |
| |
0.901654 |
| |
0.901454 |
| |
0.901276 |
|
|
|
|
|
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.
|