|
|
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 |
| |
0.208315 |
| |
0.207992 |
| |
0.207978 |
| |
0.207869 |
| |
0.207838 |
| |
0.207766 |
| |
0.207705 |
| |
0.207559 |
| |
0.207458 |
| |
0.207449 |
| |
0.207269 |
| |
0.207154 |
| |
0.206994 |
| |
0.206733 |
| |
0.206664 |
| |
0.206658 |
| |
0.206640 |
| |
0.206625 |
| |
0.206614 |
| |
0.206490 |
| |
0.206093 |
| |
0.205912 |
| |
0.205873 |
| |
0.205859 |
| |
0.205766 |
|
|
|
|
|
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.
|