|
|
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 |
| |
0.036493 |
| |
0.036462 |
| |
0.036397 |
| |
0.036253 |
| |
0.036062 |
| |
0.036062 |
| |
0.035743 |
| |
0.035682 |
| |
0.035345 |
| |
0.035282 |
| |
0.035231 |
| |
0.035089 |
| |
0.035032 |
| |
0.035020 |
| |
0.034685 |
| |
0.034669 |
| |
0.034658 |
| |
0.034551 |
| |
0.034374 |
| |
0.034358 |
| |
0.034315 |
| |
0.034202 |
| |
0.034113 |
| |
0.034081 |
| |
0.034011 |
|
|
|
|
|
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.
|