|
|
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 |
| |
0.579643 |
| |
0.579554 |
| |
0.579538 |
| |
0.579529 |
| |
0.579401 |
| |
0.579386 |
| |
0.579238 |
| |
0.579124 |
| |
0.579074 |
| |
0.579036 |
| |
0.578972 |
| |
0.578836 |
| |
0.578793 |
| |
0.578530 |
| |
0.578226 |
| |
0.578092 |
| |
0.578081 |
| |
0.577931 |
| |
0.577882 |
| |
0.577872 |
| |
0.577852 |
| |
0.577815 |
| |
0.577805 |
| |
0.577805 |
| |
0.577777 |
|
|
|
|
|
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.
|