|
|
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 |
| |
0.539073 |
| |
0.539047 |
| |
0.538742 |
| |
0.538739 |
| |
0.538644 |
| |
0.538622 |
| |
0.538595 |
| |
0.538421 |
| |
0.538414 |
| |
0.538384 |
| |
0.538373 |
| |
0.537982 |
| |
0.537908 |
| |
0.537784 |
| |
0.537781 |
| |
0.537696 |
| |
0.537656 |
| |
0.537654 |
| |
0.537615 |
| |
0.537585 |
| |
0.537536 |
| |
0.537426 |
| |
0.537420 |
| |
0.537151 |
| |
0.537130 |
|
|
|
|
|
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.
|