|
|
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 |
| |
0.767065 |
| |
0.766834 |
| |
0.766699 |
| |
0.766677 |
| |
0.766544 |
| |
0.766512 |
| |
0.766498 |
| |
0.766325 |
| |
0.766206 |
| |
0.766196 |
| |
0.766168 |
| |
0.766054 |
| |
0.765864 |
| |
0.765765 |
| |
0.765707 |
| |
0.765596 |
| |
0.765569 |
| |
0.765490 |
| |
0.765395 |
| |
0.765393 |
| |
0.765382 |
| |
0.765315 |
| |
0.765159 |
| |
0.765136 |
| |
0.765019 |
|
|
|
|
|
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.
|