|
|
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 |
| |
0.529613 |
| |
0.529585 |
| |
0.529377 |
| |
0.529081 |
| |
0.528493 |
| |
0.528418 |
| |
0.528174 |
| |
0.528174 |
| |
0.528064 |
| |
0.527941 |
| |
0.527926 |
| |
0.527687 |
| |
0.527541 |
| |
0.527278 |
| |
0.526834 |
| |
0.526832 |
| |
0.526227 |
| |
0.525504 |
| |
0.525246 |
| |
0.525097 |
| |
0.525090 |
| |
0.524238 |
| |
0.523616 |
| |
0.522528 |
| |
0.522399 |
|
|
|
|
|
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.
|