|
|
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 |
| |
0.520621 |
| |
0.520613 |
| |
0.520381 |
| |
0.520318 |
| |
0.520305 |
| |
0.520121 |
| |
0.520068 |
| |
0.520033 |
| |
0.519805 |
| |
0.519648 |
| |
0.519469 |
| |
0.519381 |
| |
0.519360 |
| |
0.519354 |
| |
0.518967 |
| |
0.518400 |
| |
0.518331 |
| |
0.518223 |
| |
0.518129 |
| |
0.517997 |
| |
0.517782 |
| |
0.517712 |
| |
0.517581 |
| |
0.517556 |
| |
0.517309 |
|
|
|
|
|
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.
|