|
|
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 |
| |
0.185319 |
| |
0.185312 |
| |
0.185278 |
| |
0.185244 |
| |
0.185239 |
| |
0.185189 |
| |
0.185177 |
| |
0.185168 |
| |
0.185167 |
| |
0.185007 |
| |
0.184929 |
| |
0.184810 |
| |
0.184804 |
| |
0.184798 |
| |
0.184755 |
| |
0.184687 |
| |
0.184669 |
| |
0.184662 |
| |
0.184618 |
| |
0.184603 |
| |
0.184573 |
| |
0.184564 |
| |
0.184556 |
| |
0.184482 |
| |
0.184404 |
|
|
|
|
|
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.
|