|
|
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 |
| |
0.417612 |
| |
0.417608 |
| |
0.417601 |
| |
0.417581 |
| |
0.417546 |
| |
0.417518 |
| |
0.417518 |
| |
0.417490 |
| |
0.417479 |
| |
0.417459 |
| |
0.417449 |
| |
0.417443 |
| |
0.417402 |
| |
0.417371 |
| |
0.417356 |
| |
0.417342 |
| |
0.417337 |
| |
0.417335 |
| |
0.417304 |
| |
0.417302 |
| |
0.417301 |
| |
0.417299 |
| |
0.417287 |
| |
0.417287 |
| |
0.417268 |
|
|
|
|
|
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.
|