|
|
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 |
| |
0.717234 |
| |
0.717140 |
| |
0.717140 |
| |
0.717106 |
| |
0.716700 |
| |
0.716364 |
| |
0.715680 |
| |
0.715581 |
| |
0.715347 |
| |
0.715347 |
| |
0.715260 |
| |
0.715218 |
| |
0.714367 |
| |
0.714212 |
| |
0.714137 |
| |
0.713680 |
| |
0.713392 |
| |
0.713360 |
| |
0.713306 |
| |
0.713247 |
| |
0.713189 |
| |
0.712629 |
| |
0.712498 |
| |
0.712011 |
| |
0.711559 |
|
|
|
|
|
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.
|