|
|
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 |
| |
0.110204 |
| |
0.110057 |
| |
0.110057 |
| |
0.109940 |
| |
0.109912 |
| |
0.109849 |
| |
0.109843 |
| |
0.109722 |
| |
0.109717 |
| |
0.109667 |
| |
0.109654 |
| |
0.109618 |
| |
0.109612 |
| |
0.109575 |
| |
0.109535 |
| |
0.109528 |
| |
0.109515 |
| |
0.109513 |
| |
0.109513 |
| |
0.109501 |
| |
0.109468 |
| |
0.109452 |
| |
0.109433 |
| |
0.109332 |
| |
0.109298 |
|
|
|
|
|
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.
|