|
|
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 |
| |
0.455821 |
| |
0.455761 |
| |
0.455510 |
| |
0.455489 |
| |
0.455444 |
| |
0.455372 |
| |
0.455339 |
| |
0.455290 |
| |
0.455112 |
| |
0.454910 |
| |
0.454910 |
| |
0.454866 |
| |
0.454724 |
| |
0.454672 |
| |
0.454632 |
| |
0.454543 |
| |
0.454523 |
| |
0.454505 |
| |
0.454198 |
| |
0.454025 |
| |
0.453749 |
| |
0.453749 |
| |
0.453748 |
| |
0.453563 |
| |
0.453538 |
|
|
|
|
|
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.
|