|
|
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 |
| |
0.347606 |
| |
0.347599 |
| |
0.347599 |
| |
0.347514 |
| |
0.347440 |
| |
0.347365 |
| |
0.347310 |
| |
0.347248 |
| |
0.346981 |
| |
0.346977 |
| |
0.346945 |
| |
0.346833 |
| |
0.346829 |
| |
0.346778 |
| |
0.346583 |
| |
0.346565 |
| |
0.346536 |
| |
0.346397 |
| |
0.346239 |
| |
0.346225 |
| |
0.346152 |
| |
0.346092 |
| |
0.346063 |
| |
0.346023 |
| |
0.345991 |
|
|
|
|
|
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.
|