|
|
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 |
| |
0.435613 |
| |
0.435588 |
| |
0.435531 |
| |
0.435429 |
| |
0.435043 |
| |
0.434902 |
| |
0.434820 |
| |
0.434812 |
| |
0.434749 |
| |
0.434727 |
| |
0.434671 |
| |
0.434659 |
| |
0.434567 |
| |
0.434446 |
| |
0.434269 |
| |
0.434203 |
| |
0.434192 |
| |
0.434163 |
| |
0.434061 |
| |
0.433926 |
| |
0.433607 |
| |
0.433587 |
| |
0.433509 |
| |
0.433462 |
| |
0.433367 |
|
|
|
|
|
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.
|