|
|
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 |
| |
0.262030 |
| |
0.262002 |
| |
0.261744 |
| |
0.261699 |
| |
0.261688 |
| |
0.261656 |
| |
0.261576 |
| |
0.261462 |
| |
0.261323 |
| |
0.261294 |
| |
0.261177 |
| |
0.261060 |
| |
0.261046 |
| |
0.261006 |
| |
0.260994 |
| |
0.260739 |
| |
0.260609 |
| |
0.260320 |
| |
0.260317 |
| |
0.260289 |
| |
0.260286 |
| |
0.260216 |
| |
0.259995 |
| |
0.259775 |
| |
0.259682 |
|
|
|
|
|
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.
|