|
|
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 |
| |
0.487649 |
| |
0.487367 |
| |
0.487358 |
| |
0.487328 |
| |
0.487273 |
| |
0.487190 |
| |
0.487065 |
| |
0.486527 |
| |
0.486438 |
| |
0.486401 |
| |
0.486354 |
| |
0.486144 |
| |
0.486143 |
| |
0.486108 |
| |
0.486024 |
| |
0.485847 |
| |
0.485751 |
| |
0.485751 |
| |
0.485694 |
| |
0.485625 |
| |
0.485581 |
| |
0.485549 |
| |
0.485493 |
| |
0.485416 |
| |
0.485416 |
|
|
|
|
|
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.
|