|
|
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 |
| |
0.205049 |
| |
0.204969 |
| |
0.204969 |
| |
0.204850 |
| |
0.204844 |
| |
0.204835 |
| |
0.204803 |
| |
0.204737 |
| |
0.204726 |
| |
0.204708 |
| |
0.204654 |
| |
0.204605 |
| |
0.204600 |
| |
0.204572 |
| |
0.204438 |
| |
0.204396 |
| |
0.204396 |
| |
0.204291 |
| |
0.204254 |
| |
0.204251 |
| |
0.204239 |
| |
0.204239 |
| |
0.204076 |
| |
0.204046 |
| |
0.203751 |
|
|
|
|
|
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.
|