|
|
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 |
| |
0.366292 |
| |
0.366266 |
| |
0.366241 |
| |
0.366232 |
| |
0.366231 |
| |
0.366227 |
| |
0.366186 |
| |
0.366178 |
| |
0.366113 |
| |
0.365968 |
| |
0.365939 |
| |
0.365854 |
| |
0.365845 |
| |
0.365825 |
| |
0.365809 |
| |
0.365778 |
| |
0.365627 |
| |
0.365605 |
| |
0.365597 |
| |
0.365568 |
| |
0.365556 |
| |
0.365522 |
| |
0.365471 |
| |
0.365449 |
| |
0.365442 |
|
|
|
|
|
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.
|