|
|
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 |
| |
-0.629187 |
| |
-0.629187 |
| |
-0.629420 |
| |
-0.629699 |
| |
-0.629713 |
| |
-0.629843 |
| |
-0.630079 |
| |
-0.630106 |
| |
-0.630171 |
| |
-0.630184 |
| |
-0.630185 |
| |
-0.630203 |
| |
-0.630235 |
| |
-0.630529 |
| |
-0.630539 |
| |
-0.630581 |
| |
-0.630668 |
| |
-0.630766 |
| |
-0.630988 |
| |
-0.631053 |
| |
-0.631131 |
| |
-0.631191 |
| |
-0.631300 |
| |
-0.631365 |
| |
-0.631488 |
|
|
|
|
|
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.
|