|
|
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 |
| |
0.052388 |
| |
0.052218 |
| |
0.052213 |
| |
0.052168 |
| |
0.051877 |
| |
0.051809 |
| |
0.051743 |
| |
0.051670 |
| |
0.051599 |
| |
0.051507 |
| |
0.051435 |
| |
0.051420 |
| |
0.051324 |
| |
0.051205 |
| |
0.051059 |
| |
0.051004 |
| |
0.050597 |
| |
0.050458 |
| |
0.050440 |
| |
0.050315 |
| |
0.050175 |
| |
0.049989 |
| |
0.049301 |
| |
0.049277 |
| |
0.049229 |
|
|
|
|
|
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.
|