|
|
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 |
| |
0.688797 |
| |
0.688745 |
| |
0.688704 |
| |
0.688509 |
| |
0.688438 |
| |
0.688283 |
| |
0.688283 |
| |
0.688261 |
| |
0.688182 |
| |
0.688109 |
| |
0.688109 |
| |
0.687872 |
| |
0.687816 |
| |
0.687767 |
| |
0.687692 |
| |
0.687679 |
| |
0.687450 |
| |
0.687299 |
| |
0.687285 |
| |
0.687212 |
| |
0.687178 |
| |
0.687120 |
| |
0.686963 |
| |
0.686812 |
| |
0.686790 |
|
|
|
|
|
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.
|