|
|
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 |
| |
0.644160 |
| |
0.644072 |
| |
0.643827 |
| |
0.643669 |
| |
0.643663 |
| |
0.643655 |
| |
0.643583 |
| |
0.643361 |
| |
0.643076 |
| |
0.642795 |
| |
0.642751 |
| |
0.642639 |
| |
0.642554 |
| |
0.642499 |
| |
0.642480 |
| |
0.642463 |
| |
0.642364 |
| |
0.642177 |
| |
0.642173 |
| |
0.642133 |
| |
0.642120 |
| |
0.642021 |
| |
0.641900 |
| |
0.641691 |
| |
0.641626 |
|
|
|
|
|
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.
|