|
|
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 |
| |
0.584543 |
| |
0.584540 |
| |
0.584527 |
| |
0.584501 |
| |
0.584338 |
| |
0.584163 |
| |
0.584138 |
| |
0.584117 |
| |
0.584104 |
| |
0.584028 |
| |
0.584026 |
| |
0.583967 |
| |
0.583959 |
| |
0.583923 |
| |
0.583901 |
| |
0.583891 |
| |
0.583882 |
| |
0.583876 |
| |
0.583825 |
| |
0.583724 |
| |
0.583711 |
| |
0.583574 |
| |
0.583390 |
| |
0.583350 |
| |
0.583339 |
|
|
|
|
|
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.
|