|
|
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 |
| |
-0.021063 |
| |
-0.021139 |
| |
-0.021161 |
| |
-0.021227 |
| |
-0.021350 |
| |
-0.021412 |
| |
-0.021731 |
| |
-0.021933 |
| |
-0.021933 |
| |
-0.022179 |
| |
-0.022887 |
| |
-0.022902 |
| |
-0.022987 |
| |
-0.023291 |
| |
-0.023387 |
| |
-0.023400 |
| |
-0.023862 |
| |
-0.023923 |
| |
-0.023954 |
| |
-0.024192 |
| |
-0.024217 |
| |
-0.024475 |
| |
-0.024688 |
| |
-0.024921 |
| |
-0.025114 |
|
|
|
|
|
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.
|