|
|
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 |
| |
0.780262 |
| |
0.780185 |
| |
0.780127 |
| |
0.780093 |
| |
0.779872 |
| |
0.779745 |
| |
0.779741 |
| |
0.779710 |
| |
0.779671 |
| |
0.779652 |
| |
0.779619 |
| |
0.779604 |
| |
0.779410 |
| |
0.779398 |
| |
0.779317 |
| |
0.779189 |
| |
0.779129 |
| |
0.779005 |
| |
0.778703 |
| |
0.778583 |
| |
0.778563 |
| |
0.778387 |
| |
0.778371 |
| |
0.778354 |
| |
0.778331 |
|
|
|
|
|
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.
|