|
|
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 |
| |
0.196503 |
| |
0.196447 |
| |
0.196424 |
| |
0.196403 |
| |
0.196325 |
| |
0.196323 |
| |
0.196318 |
| |
0.196305 |
| |
0.196267 |
| |
0.196099 |
| |
0.196073 |
| |
0.196021 |
| |
0.196021 |
| |
0.196014 |
| |
0.195953 |
| |
0.195936 |
| |
0.195781 |
| |
0.195730 |
| |
0.195689 |
| |
0.195689 |
| |
0.195686 |
| |
0.195610 |
| |
0.195543 |
| |
0.195525 |
| |
0.195400 |
|
|
|
|
|
 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.
|
