|
|
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 |
| |
0.870521 |
| |
0.870512 |
| |
0.870426 |
| |
0.870376 |
| |
0.870371 |
| |
0.870269 |
| |
0.870238 |
| |
0.870150 |
| |
0.870120 |
| |
0.870048 |
| |
0.870048 |
| |
0.869995 |
| |
0.869938 |
| |
0.869919 |
| |
0.869887 |
| |
0.869880 |
| |
0.869870 |
| |
0.869810 |
| |
0.869798 |
| |
0.869792 |
| |
0.869792 |
| |
0.869780 |
| |
0.869768 |
| |
0.869753 |
| |
0.869693 |
|
|
|
|
|
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.
|