|
|
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 |
| |
0.326712 |
| |
0.326523 |
| |
0.326510 |
| |
0.326453 |
| |
0.326325 |
| |
0.326222 |
| |
0.326066 |
| |
0.325815 |
| |
0.325815 |
| |
0.325403 |
| |
0.325299 |
| |
0.325222 |
| |
0.325100 |
| |
0.324896 |
| |
0.324805 |
| |
0.324773 |
| |
0.324459 |
| |
0.324415 |
| |
0.324415 |
| |
0.324263 |
| |
0.324235 |
| |
0.324235 |
| |
0.323823 |
| |
0.323777 |
| |
0.323773 |
|
|
|
|
|
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.
|