|
|
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 |
| |
0.812123 |
| |
0.812123 |
| |
0.812116 |
| |
0.812111 |
| |
0.812110 |
| |
0.812078 |
| |
0.812071 |
| |
0.812035 |
| |
0.812032 |
| |
0.812015 |
| |
0.811972 |
| |
0.811961 |
| |
0.811954 |
| |
0.811924 |
| |
0.811877 |
| |
0.811860 |
| |
0.811833 |
| |
0.811808 |
| |
0.811791 |
| |
0.811725 |
| |
0.811695 |
| |
0.811668 |
| |
0.811635 |
| |
0.811350 |
| |
0.811346 |
|
|
|
|
|
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.
|