|
|
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 |
| |
-0.694792 |
| |
-0.694794 |
| |
-0.694877 |
| |
-0.694922 |
| |
-0.694999 |
| |
-0.695094 |
| |
-0.695096 |
| |
-0.695415 |
| |
-0.695444 |
| |
-0.695519 |
| |
-0.695556 |
| |
-0.695716 |
| |
-0.695726 |
| |
-0.695734 |
| |
-0.695892 |
| |
-0.696096 |
| |
-0.696117 |
| |
-0.696153 |
| |
-0.696217 |
| |
-0.696238 |
| |
-0.696278 |
| |
-0.696313 |
| |
-0.696323 |
| |
-0.696335 |
| |
-0.696339 |
|
|
|
|
|
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.
|