|
|
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 |
| |
0.415973 |
| |
0.415973 |
| |
0.415938 |
| |
0.415752 |
| |
0.415519 |
| |
0.415466 |
| |
0.415231 |
| |
0.415231 |
| |
0.415065 |
| |
0.414645 |
| |
0.414561 |
| |
0.414441 |
| |
0.414421 |
| |
0.414325 |
| |
0.414318 |
| |
0.414135 |
| |
0.413710 |
| |
0.413499 |
| |
0.413382 |
| |
0.413205 |
| |
0.413157 |
| |
0.413094 |
| |
0.413087 |
| |
0.413018 |
| |
0.412817 |
|
|
|
|
|
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.
|