|
|
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 |
| |
-0.789132 |
| |
-0.789452 |
| |
-0.789795 |
| |
-0.790221 |
| |
-0.790231 |
| |
-0.791950 |
| |
-0.792836 |
| |
-0.793752 |
| |
-0.794053 |
| |
-0.794153 |
| |
-0.794687 |
| |
-0.794692 |
| |
-0.794819 |
| |
-0.795764 |
| |
-0.796415 |
| |
-0.796527 |
| |
-0.796661 |
| |
-0.796800 |
| |
-0.796993 |
| |
-0.798050 |
| |
-0.798359 |
| |
-0.798474 |
| |
-0.798503 |
| |
-0.798536 |
| |
-0.798822 |
|
|
|
|
|
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.
|