|
|
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 |
| |
0.192259 |
| |
0.192036 |
| |
0.192036 |
| |
0.191958 |
| |
0.191941 |
| |
0.191906 |
| |
0.191828 |
| |
0.191787 |
| |
0.191609 |
| |
0.191534 |
| |
0.191380 |
| |
0.191304 |
| |
0.190957 |
| |
0.190893 |
| |
0.190799 |
| |
0.190656 |
| |
0.190637 |
| |
0.190478 |
| |
0.190274 |
| |
0.190171 |
| |
0.189808 |
| |
0.189808 |
| |
0.189775 |
| |
0.189650 |
| |
0.189363 |
|
|
|
|
|
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.
|