|
|
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 |
| |
0.855961 |
| |
0.855812 |
| |
0.855741 |
| |
0.855198 |
| |
0.855104 |
| |
0.855052 |
| |
0.854980 |
| |
0.854638 |
| |
0.853275 |
| |
0.853165 |
| |
0.852855 |
| |
0.852193 |
| |
0.851413 |
| |
0.851326 |
| |
0.851326 |
| |
0.851256 |
| |
0.850433 |
| |
0.850138 |
| |
0.850138 |
| |
0.850030 |
| |
0.849841 |
| |
0.849790 |
| |
0.849739 |
| |
0.849716 |
| |
0.849706 |
|
|
|
|
|
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.
|