|
|
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 |
| |
0.728975 |
| |
0.728965 |
| |
0.728677 |
| |
0.728640 |
| |
0.728567 |
| |
0.728539 |
| |
0.728485 |
| |
0.727785 |
| |
0.727701 |
| |
0.727458 |
| |
0.727438 |
| |
0.727361 |
| |
0.727349 |
| |
0.726997 |
| |
0.726778 |
| |
0.726633 |
| |
0.726552 |
| |
0.726289 |
| |
0.725893 |
| |
0.725032 |
| |
0.724132 |
| |
0.724068 |
| |
0.723570 |
| |
0.723369 |
| |
0.723295 |
|
|
|
|
|
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.
|