|
|
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 |
| |
0.868457 |
| |
0.868436 |
| |
0.868345 |
| |
0.868293 |
| |
0.868293 |
| |
0.868244 |
| |
0.868228 |
| |
0.868153 |
| |
0.868124 |
| |
0.868056 |
| |
0.868025 |
| |
0.868016 |
| |
0.867911 |
| |
0.867832 |
| |
0.867731 |
| |
0.867705 |
| |
0.867638 |
| |
0.867571 |
| |
0.867557 |
| |
0.867532 |
| |
0.867482 |
| |
0.867429 |
| |
0.867282 |
| |
0.867261 |
| |
0.866864 |
|
|
|
|
|
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.
|