|
|
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 |
| |
0.119800 |
| |
0.119791 |
| |
0.119708 |
| |
0.119606 |
| |
0.119446 |
| |
0.119412 |
| |
0.119388 |
| |
0.119207 |
| |
0.119059 |
| |
0.119038 |
| |
0.118881 |
| |
0.118795 |
| |
0.118615 |
| |
0.118477 |
| |
0.118477 |
| |
0.118321 |
| |
0.118215 |
| |
0.118205 |
| |
0.117826 |
| |
0.117748 |
| |
0.117617 |
| |
0.117438 |
| |
0.117291 |
| |
0.117291 |
| |
0.117291 |
|
|
|
|
|
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.
|