|
|
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 |
| |
0.582245 |
| |
0.582082 |
| |
0.581960 |
| |
0.581944 |
| |
0.581730 |
| |
0.581714 |
| |
0.581498 |
| |
0.581486 |
| |
0.581477 |
| |
0.581426 |
| |
0.581202 |
| |
0.581137 |
| |
0.581081 |
| |
0.581058 |
| |
0.581015 |
| |
0.581009 |
| |
0.580844 |
| |
0.580698 |
| |
0.580669 |
| |
0.580500 |
| |
0.580193 |
| |
0.580111 |
| |
0.580078 |
| |
0.580068 |
| |
0.579993 |
|
|
|
|
|
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.
|