|
|
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 |
| |
0.836717 |
| |
0.836560 |
| |
0.836437 |
| |
0.836261 |
| |
0.836167 |
| |
0.836111 |
| |
0.836086 |
| |
0.835976 |
| |
0.835849 |
| |
0.835779 |
| |
0.835545 |
| |
0.835320 |
| |
0.835120 |
| |
0.835113 |
| |
0.834973 |
| |
0.834708 |
| |
0.834690 |
| |
0.834588 |
| |
0.834461 |
| |
0.834171 |
| |
0.834166 |
| |
0.833798 |
| |
0.833752 |
| |
0.833730 |
| |
0.833667 |
|
|
|
|
|
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.
|