|
|
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 |
| |
0.730422 |
| |
0.730295 |
| |
0.730284 |
| |
0.730279 |
| |
0.730253 |
| |
0.730191 |
| |
0.730179 |
| |
0.730177 |
| |
0.730108 |
| |
0.730056 |
| |
0.730000 |
| |
0.729824 |
| |
0.729794 |
| |
0.729781 |
| |
0.729753 |
| |
0.729753 |
| |
0.729735 |
| |
0.729607 |
| |
0.729327 |
| |
0.729184 |
| |
0.729170 |
| |
0.729036 |
| |
0.729004 |
| |
0.728983 |
| |
0.728981 |
|
|
|
|
|
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.
|