|
|
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 |
| |
0.664097 |
| |
0.663998 |
| |
0.663918 |
| |
0.663839 |
| |
0.663830 |
| |
0.663773 |
| |
0.663759 |
| |
0.663712 |
| |
0.663641 |
| |
0.663559 |
| |
0.663488 |
| |
0.663458 |
| |
0.663356 |
| |
0.663340 |
| |
0.663235 |
| |
0.663234 |
| |
0.663168 |
| |
0.663159 |
| |
0.663148 |
| |
0.663118 |
| |
0.662956 |
| |
0.662947 |
| |
0.662902 |
| |
0.662872 |
| |
0.662772 |
|
|
|
|
|
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.
|