|
|
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 |
| |
0.450809 |
| |
0.450753 |
| |
0.450739 |
| |
0.450640 |
| |
0.450626 |
| |
0.450532 |
| |
0.450310 |
| |
0.450225 |
| |
0.450203 |
| |
0.450142 |
| |
0.450060 |
| |
0.449796 |
| |
0.449782 |
| |
0.449565 |
| |
0.449381 |
| |
0.449362 |
| |
0.449353 |
| |
0.449152 |
| |
0.449151 |
| |
0.448964 |
| |
0.448668 |
| |
0.448511 |
| |
0.448371 |
| |
0.448193 |
| |
0.448148 |
|
|
|
|
|
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.
|