|
|
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 |
| |
0.005416 |
| |
0.005329 |
| |
0.005321 |
| |
0.005184 |
| |
0.005081 |
| |
0.005048 |
| |
0.004922 |
| |
0.004581 |
| |
0.004562 |
| |
0.004352 |
| |
0.004327 |
| |
0.004287 |
| |
0.004201 |
| |
0.003989 |
| |
0.003513 |
| |
0.003405 |
| |
0.003215 |
| |
0.003080 |
| |
0.002928 |
| |
0.002791 |
| |
0.002743 |
| |
0.002581 |
| |
0.002570 |
| |
0.002567 |
| |
0.002521 |
|
|
|
|
|
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.
|