|
|
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 |
| |
0.907793 |
| |
0.907661 |
| |
0.907638 |
| |
0.907614 |
| |
0.907560 |
| |
0.907509 |
| |
0.907444 |
| |
0.907301 |
| |
0.907172 |
| |
0.907039 |
| |
0.906935 |
| |
0.906808 |
| |
0.906792 |
| |
0.906684 |
| |
0.906470 |
| |
0.906248 |
| |
0.906150 |
| |
0.906056 |
| |
0.905894 |
| |
0.905842 |
| |
0.905531 |
| |
0.905160 |
| |
0.905158 |
| |
0.905134 |
| |
0.904901 |
|
|
|
|
|
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.
|