|
|
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 |
| |
0.146984 |
| |
0.146975 |
| |
0.146974 |
| |
0.146939 |
| |
0.146914 |
| |
0.146914 |
| |
0.146889 |
| |
0.146833 |
| |
0.146823 |
| |
0.146708 |
| |
0.146657 |
| |
0.146633 |
| |
0.146616 |
| |
0.146616 |
| |
0.146575 |
| |
0.146493 |
| |
0.146473 |
| |
0.146407 |
| |
0.146403 |
| |
0.146364 |
| |
0.146343 |
| |
0.146335 |
| |
0.146203 |
| |
0.146179 |
| |
0.146179 |
|
|
|
|
|
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.
|