|
|
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 |
| |
1.000000 |
| |
0.999993 |
| |
0.999335 |
| |
0.999120 |
| |
0.999014 |
| |
0.998944 |
| |
0.998878 |
| |
0.998644 |
| |
0.997201 |
| |
0.996548 |
| |
0.992269 |
| |
0.991850 |
| |
0.955697 |
| |
0.955684 |
| |
0.955433 |
| |
0.952982 |
| |
0.951873 |
| |
0.951024 |
| |
0.950088 |
| |
0.949794 |
| |
0.949593 |
| |
0.949575 |
| |
0.949561 |
| |
0.949481 |
| |
0.948753 |
|
|
|
|
|
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.
|