|
|
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 |
| |
0.518600 |
| |
0.518559 |
| |
0.518538 |
| |
0.518461 |
| |
0.518440 |
| |
0.518392 |
| |
0.518289 |
| |
0.518289 |
| |
0.518228 |
| |
0.518162 |
| |
0.518059 |
| |
0.517955 |
| |
0.517901 |
| |
0.517846 |
| |
0.517672 |
| |
0.517672 |
| |
0.517653 |
| |
0.517616 |
| |
0.517602 |
| |
0.517497 |
| |
0.517344 |
| |
0.517336 |
| |
0.517309 |
| |
0.517107 |
| |
0.516972 |
|
|
|
|
|
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.
|