|
|
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 |
| |
0.149395 |
| |
0.149300 |
| |
0.149280 |
| |
0.149280 |
| |
0.149229 |
| |
0.149227 |
| |
0.149142 |
| |
0.149111 |
| |
0.149089 |
| |
0.149025 |
| |
0.148983 |
| |
0.148929 |
| |
0.148801 |
| |
0.148792 |
| |
0.148753 |
| |
0.148739 |
| |
0.148527 |
| |
0.148489 |
| |
0.148459 |
| |
0.148444 |
| |
0.148444 |
| |
0.148247 |
| |
0.148212 |
| |
0.148044 |
| |
0.148044 |
|
|
|
|
|
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.
|