|
|
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 |
| |
0.419166 |
| |
0.419158 |
| |
0.418985 |
| |
0.418900 |
| |
0.418840 |
| |
0.418759 |
| |
0.418747 |
| |
0.418673 |
| |
0.418564 |
| |
0.418564 |
| |
0.418561 |
| |
0.418491 |
| |
0.418454 |
| |
0.418432 |
| |
0.418321 |
| |
0.418279 |
| |
0.417949 |
| |
0.417940 |
| |
0.417920 |
| |
0.417920 |
| |
0.417900 |
| |
0.417867 |
| |
0.417867 |
| |
0.417745 |
| |
0.417745 |
|
|
|
|
|
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.
|