|
|
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 |
| |
0.348837 |
| |
0.348802 |
| |
0.348765 |
| |
0.348748 |
| |
0.348717 |
| |
0.348679 |
| |
0.348646 |
| |
0.348574 |
| |
0.348511 |
| |
0.348491 |
| |
0.348385 |
| |
0.348264 |
| |
0.348263 |
| |
0.348228 |
| |
0.348218 |
| |
0.348063 |
| |
0.348037 |
| |
0.348034 |
| |
0.348002 |
| |
0.347949 |
| |
0.347929 |
| |
0.347927 |
| |
0.347906 |
| |
0.347777 |
| |
0.347668 |
|
|
|
|
|
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.
|