|
|
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 |
| |
0.728946 |
| |
0.728783 |
| |
0.728514 |
| |
0.728284 |
| |
0.728193 |
| |
0.728182 |
| |
0.728048 |
| |
0.727805 |
| |
0.727744 |
| |
0.727665 |
| |
0.727632 |
| |
0.727414 |
| |
0.727119 |
| |
0.726943 |
| |
0.726711 |
| |
0.726694 |
| |
0.726569 |
| |
0.726499 |
| |
0.726495 |
| |
0.726418 |
| |
0.726189 |
| |
0.726123 |
| |
0.726069 |
| |
0.725953 |
| |
0.725935 |
|
|
|
|
|
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.
|