|
|
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 |
| |
0.534918 |
| |
0.534914 |
| |
0.534773 |
| |
0.534536 |
| |
0.533999 |
| |
0.533824 |
| |
0.533557 |
| |
0.533298 |
| |
0.533168 |
| |
0.533161 |
| |
0.533102 |
| |
0.533058 |
| |
0.532956 |
| |
0.532956 |
| |
0.532927 |
| |
0.532811 |
| |
0.532796 |
| |
0.532780 |
| |
0.532724 |
| |
0.532652 |
| |
0.532617 |
| |
0.532520 |
| |
0.532510 |
| |
0.532299 |
| |
0.532286 |
|
|
|
|
|
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.
|