|
|
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 |
| |
0.534270 |
| |
0.533896 |
| |
0.533795 |
| |
0.533687 |
| |
0.533432 |
| |
0.533239 |
| |
0.533164 |
| |
0.533124 |
| |
0.533124 |
| |
0.533035 |
| |
0.533008 |
| |
0.532953 |
| |
0.532898 |
| |
0.532829 |
| |
0.532478 |
| |
0.532357 |
| |
0.532190 |
| |
0.532171 |
| |
0.532024 |
| |
0.531982 |
| |
0.531918 |
| |
0.531725 |
| |
0.531520 |
| |
0.531447 |
| |
0.531223 |
|
|
|
|
|
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.
|