|
|
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 |
| |
0.251844 |
| |
0.251836 |
| |
0.251762 |
| |
0.251761 |
| |
0.251493 |
| |
0.251452 |
| |
0.251438 |
| |
0.251432 |
| |
0.251316 |
| |
0.251262 |
| |
0.251165 |
| |
0.251165 |
| |
0.250959 |
| |
0.250917 |
| |
0.250791 |
| |
0.250749 |
| |
0.250645 |
| |
0.250570 |
| |
0.250551 |
| |
0.250551 |
| |
0.250260 |
| |
0.250188 |
| |
0.250095 |
| |
0.250095 |
| |
0.250065 |
|
|
|
|
|
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.
|