|
|
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 |
| |
0.911251 |
| |
0.911245 |
| |
0.911100 |
| |
0.911083 |
| |
0.911083 |
| |
0.911044 |
| |
0.910661 |
| |
0.910590 |
| |
0.910585 |
| |
0.910507 |
| |
0.910373 |
| |
0.910357 |
| |
0.910357 |
| |
0.910270 |
| |
0.910198 |
| |
0.910112 |
| |
0.910106 |
| |
0.910046 |
| |
0.909973 |
| |
0.909905 |
| |
0.909847 |
| |
0.909599 |
| |
0.909594 |
| |
0.909572 |
| |
0.909558 |
|
|
|
|
|
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.
|