|
|
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 |
| |
0.814984 |
| |
0.814972 |
| |
0.814951 |
| |
0.814791 |
| |
0.814678 |
| |
0.814286 |
| |
0.814152 |
| |
0.814067 |
| |
0.813992 |
| |
0.813752 |
| |
0.813195 |
| |
0.813143 |
| |
0.812932 |
| |
0.811480 |
| |
0.811373 |
| |
0.811354 |
| |
0.811157 |
| |
0.810684 |
| |
0.810472 |
| |
0.810333 |
| |
0.810331 |
| |
0.810266 |
| |
0.810052 |
| |
0.809608 |
| |
0.809584 |
|
|
|
|
|
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.
|