|
|
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 |
| |
0.459137 |
| |
0.459137 |
| |
0.458996 |
| |
0.458947 |
| |
0.458853 |
| |
0.458774 |
| |
0.458774 |
| |
0.458265 |
| |
0.457931 |
| |
0.457811 |
| |
0.457678 |
| |
0.457643 |
| |
0.457484 |
| |
0.457345 |
| |
0.457339 |
| |
0.456932 |
| |
0.456931 |
| |
0.456586 |
| |
0.456479 |
| |
0.456445 |
| |
0.456357 |
| |
0.456246 |
| |
0.456174 |
| |
0.456026 |
| |
0.455988 |
|
|
|
|
|
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.
|