|
|
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 |
| |
0.530859 |
| |
0.530789 |
| |
0.530564 |
| |
0.530411 |
| |
0.530331 |
| |
0.530289 |
| |
0.530218 |
| |
0.530207 |
| |
0.530201 |
| |
0.530200 |
| |
0.530168 |
| |
0.530101 |
| |
0.530090 |
| |
0.530057 |
| |
0.529878 |
| |
0.529858 |
| |
0.529824 |
| |
0.529809 |
| |
0.529785 |
| |
0.529784 |
| |
0.529639 |
| |
0.529395 |
| |
0.529347 |
| |
0.529347 |
| |
0.529309 |
|
|
|
|
|
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.
|