|
|
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 |
| |
0.679581 |
| |
0.679352 |
| |
0.678729 |
| |
0.678666 |
| |
0.678504 |
| |
0.678316 |
| |
0.678235 |
| |
0.678223 |
| |
0.677976 |
| |
0.677962 |
| |
0.677696 |
| |
0.677414 |
| |
0.677104 |
| |
0.676977 |
| |
0.676839 |
| |
0.676571 |
| |
0.676376 |
| |
0.675630 |
| |
0.675482 |
| |
0.675176 |
| |
0.675137 |
| |
0.674995 |
| |
0.674946 |
| |
0.674721 |
| |
0.674594 |
|
|
|
|
|
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.
|