|
|
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 |
| |
0.116923 |
| |
0.116607 |
| |
0.116599 |
| |
0.116491 |
| |
0.116411 |
| |
0.116292 |
| |
0.116289 |
| |
0.116175 |
| |
0.116135 |
| |
0.116068 |
| |
0.115947 |
| |
0.115864 |
| |
0.115773 |
| |
0.115730 |
| |
0.115713 |
| |
0.115521 |
| |
0.115499 |
| |
0.115254 |
| |
0.114902 |
| |
0.114902 |
| |
0.114858 |
| |
0.114846 |
| |
0.114811 |
| |
0.114809 |
| |
0.114540 |
|
|
|
|
|
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.
|