|
|
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 |
| |
0.502517 |
| |
0.502248 |
| |
0.502137 |
| |
0.502121 |
| |
0.502070 |
| |
0.502062 |
| |
0.501902 |
| |
0.501810 |
| |
0.501793 |
| |
0.501733 |
| |
0.501682 |
| |
0.501588 |
| |
0.501584 |
| |
0.501573 |
| |
0.501512 |
| |
0.501474 |
| |
0.501323 |
| |
0.501288 |
| |
0.501233 |
| |
0.501139 |
| |
0.501076 |
| |
0.501073 |
| |
0.500936 |
| |
0.500922 |
| |
0.500901 |
|
|
|
|
|
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.
|