|
|
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 |
| |
0.243630 |
| |
0.243601 |
| |
0.243601 |
| |
0.243499 |
| |
0.243493 |
| |
0.243348 |
| |
0.243338 |
| |
0.243307 |
| |
0.243291 |
| |
0.243253 |
| |
0.243237 |
| |
0.243206 |
| |
0.243060 |
| |
0.242909 |
| |
0.242892 |
| |
0.242865 |
| |
0.242793 |
| |
0.242777 |
| |
0.242660 |
| |
0.242660 |
| |
0.242574 |
| |
0.242553 |
| |
0.242486 |
| |
0.242486 |
| |
0.242485 |
|
|
|
|
|
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.
|