|
|
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 |
| |
0.356221 |
| |
0.356209 |
| |
0.356123 |
| |
0.356100 |
| |
0.356069 |
| |
0.356059 |
| |
0.355998 |
| |
0.355983 |
| |
0.355925 |
| |
0.355912 |
| |
0.355834 |
| |
0.355816 |
| |
0.355693 |
| |
0.355600 |
| |
0.355597 |
| |
0.355539 |
| |
0.355492 |
| |
0.355426 |
| |
0.355372 |
| |
0.355364 |
| |
0.355343 |
| |
0.355298 |
| |
0.355294 |
| |
0.355253 |
| |
0.355179 |
|
|
|
|
|
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.
|