|
|
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 |
| |
0.085747 |
| |
0.085744 |
| |
0.085700 |
| |
0.085700 |
| |
0.085645 |
| |
0.085642 |
| |
0.085618 |
| |
0.085597 |
| |
0.085525 |
| |
0.085525 |
| |
0.085501 |
| |
0.085374 |
| |
0.085298 |
| |
0.085269 |
| |
0.085240 |
| |
0.085175 |
| |
0.085152 |
| |
0.085049 |
| |
0.085016 |
| |
0.084962 |
| |
0.084769 |
| |
0.084762 |
| |
0.084710 |
| |
0.084708 |
| |
0.084622 |
|
|
|
|
|
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.
|