|
|
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 |
| |
0.449171 |
| |
0.449166 |
| |
0.449116 |
| |
0.449061 |
| |
0.448955 |
| |
0.448933 |
| |
0.448914 |
| |
0.448807 |
| |
0.448788 |
| |
0.448781 |
| |
0.448728 |
| |
0.448639 |
| |
0.448587 |
| |
0.448554 |
| |
0.448518 |
| |
0.448499 |
| |
0.448478 |
| |
0.448363 |
| |
0.448310 |
| |
0.448297 |
| |
0.448295 |
| |
0.448161 |
| |
0.448126 |
| |
0.448117 |
| |
0.448091 |
|
|
|
|
|
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.
|