|
|
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 |
| |
0.399530 |
| |
0.399524 |
| |
0.398989 |
| |
0.398857 |
| |
0.398572 |
| |
0.398471 |
| |
0.398143 |
| |
0.398053 |
| |
0.398011 |
| |
0.397902 |
| |
0.397537 |
| |
0.397533 |
| |
0.397394 |
| |
0.397078 |
| |
0.396939 |
| |
0.396532 |
| |
0.396272 |
| |
0.396136 |
| |
0.396105 |
| |
0.396065 |
| |
0.396015 |
| |
0.395828 |
| |
0.395594 |
| |
0.395557 |
| |
0.395427 |
|
|
|
|
|
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.
|