|
|
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 |
| |
0.667789 |
| |
0.667772 |
| |
0.667767 |
| |
0.667753 |
| |
0.667704 |
| |
0.667619 |
| |
0.667616 |
| |
0.667493 |
| |
0.667491 |
| |
0.667487 |
| |
0.667482 |
| |
0.667407 |
| |
0.667398 |
| |
0.667309 |
| |
0.667309 |
| |
0.667203 |
| |
0.667169 |
| |
0.667164 |
| |
0.667068 |
| |
0.667005 |
| |
0.666996 |
| |
0.666983 |
| |
0.666940 |
| |
0.666934 |
| |
0.666876 |
|
|
|
|
|
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.
|