|
|
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 |
| |
0.763914 |
| |
0.763604 |
| |
0.763481 |
| |
0.763476 |
| |
0.763435 |
| |
0.763348 |
| |
0.763234 |
| |
0.763204 |
| |
0.763096 |
| |
0.763052 |
| |
0.763049 |
| |
0.762931 |
| |
0.762695 |
| |
0.762641 |
| |
0.762598 |
| |
0.762571 |
| |
0.762507 |
| |
0.762433 |
| |
0.762403 |
| |
0.762341 |
| |
0.762279 |
| |
0.762171 |
| |
0.762156 |
| |
0.762121 |
| |
0.762101 |
|
|
|
|
|
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.
|