|
|
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 |
| |
0.126650 |
| |
0.126648 |
| |
0.126564 |
| |
0.126473 |
| |
0.126269 |
| |
0.125597 |
| |
0.125576 |
| |
0.125570 |
| |
0.125494 |
| |
0.125451 |
| |
0.125310 |
| |
0.125196 |
| |
0.125048 |
| |
0.124983 |
| |
0.124884 |
| |
0.124878 |
| |
0.124869 |
| |
0.124774 |
| |
0.124657 |
| |
0.124609 |
| |
0.124529 |
| |
0.124466 |
| |
0.124456 |
| |
0.124029 |
| |
0.123935 |
|
|
|
|
|
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.
|