|
|
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 |
| |
0.424206 |
| |
0.424005 |
| |
0.423845 |
| |
0.423714 |
| |
0.423361 |
| |
0.423331 |
| |
0.423295 |
| |
0.423222 |
| |
0.423187 |
| |
0.423046 |
| |
0.422921 |
| |
0.422918 |
| |
0.422767 |
| |
0.422634 |
| |
0.422163 |
| |
0.422071 |
| |
0.421928 |
| |
0.421820 |
| |
0.421698 |
| |
0.421664 |
| |
0.421475 |
| |
0.421468 |
| |
0.421276 |
| |
0.421184 |
| |
0.420987 |
|
|
|
|
|
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.
|