|
|
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 |
| |
0.463980 |
| |
0.463873 |
| |
0.463136 |
| |
0.462944 |
| |
0.462585 |
| |
0.462549 |
| |
0.462470 |
| |
0.462368 |
| |
0.462368 |
| |
0.462128 |
| |
0.461929 |
| |
0.461805 |
| |
0.461561 |
| |
0.461541 |
| |
0.461400 |
| |
0.461155 |
| |
0.460976 |
| |
0.460976 |
| |
0.460828 |
| |
0.460828 |
| |
0.460462 |
| |
0.460400 |
| |
0.460320 |
| |
0.460224 |
| |
0.460224 |
|
|
|
|
|
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.
|