|
|
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 |
| |
0.701663 |
| |
0.701592 |
| |
0.701584 |
| |
0.701513 |
| |
0.701480 |
| |
0.701430 |
| |
0.701272 |
| |
0.701094 |
| |
0.700915 |
| |
0.700693 |
| |
0.700548 |
| |
0.700405 |
| |
0.700391 |
| |
0.700001 |
| |
0.699990 |
| |
0.699980 |
| |
0.699918 |
| |
0.699763 |
| |
0.699638 |
| |
0.699312 |
| |
0.699280 |
| |
0.699256 |
| |
0.699231 |
| |
0.699196 |
| |
0.699002 |
|
|
|
|
|
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.
|