|
|
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 |
| |
0.803541 |
| |
0.803533 |
| |
0.803471 |
| |
0.803460 |
| |
0.803437 |
| |
0.803393 |
| |
0.803390 |
| |
0.803361 |
| |
0.803357 |
| |
0.803297 |
| |
0.803253 |
| |
0.803230 |
| |
0.803203 |
| |
0.803188 |
| |
0.803156 |
| |
0.803141 |
| |
0.803129 |
| |
0.803128 |
| |
0.803118 |
| |
0.803112 |
| |
0.802952 |
| |
0.802921 |
| |
0.802914 |
| |
0.802904 |
| |
0.802786 |
|
|
|
|
|
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.
|