|
|
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 |
| |
0.739129 |
| |
0.739049 |
| |
0.738473 |
| |
0.738420 |
| |
0.738409 |
| |
0.737380 |
| |
0.737247 |
| |
0.737195 |
| |
0.737006 |
| |
0.736757 |
| |
0.736714 |
| |
0.736569 |
| |
0.736070 |
| |
0.735830 |
| |
0.735514 |
| |
0.735454 |
| |
0.734805 |
| |
0.734643 |
| |
0.734611 |
| |
0.734450 |
| |
0.734387 |
| |
0.734196 |
| |
0.734189 |
| |
0.734013 |
| |
0.733948 |
|
|
|
|
|
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.
|