|
|
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 |
| |
0.487828 |
| |
0.487664 |
| |
0.487661 |
| |
0.487624 |
| |
0.487514 |
| |
0.487418 |
| |
0.487381 |
| |
0.487377 |
| |
0.487290 |
| |
0.487156 |
| |
0.487151 |
| |
0.487130 |
| |
0.487129 |
| |
0.487123 |
| |
0.487122 |
| |
0.487056 |
| |
0.486963 |
| |
0.486809 |
| |
0.486782 |
| |
0.486703 |
| |
0.486645 |
| |
0.486446 |
| |
0.486389 |
| |
0.486383 |
| |
0.486343 |
|
|
|
|
|
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.
|