|
|
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 |
| |
0.224488 |
| |
0.224399 |
| |
0.224399 |
| |
0.224278 |
| |
0.224275 |
| |
0.224227 |
| |
0.224200 |
| |
0.224157 |
| |
0.224154 |
| |
0.224123 |
| |
0.224045 |
| |
0.224009 |
| |
0.224006 |
| |
0.223805 |
| |
0.223752 |
| |
0.223678 |
| |
0.223608 |
| |
0.223608 |
| |
0.223601 |
| |
0.223558 |
| |
0.223540 |
| |
0.223375 |
| |
0.223305 |
| |
0.223288 |
| |
0.223286 |
|
|
|
|
|
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.
|