|
|
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 |
| |
-0.147722 |
| |
-0.147853 |
| |
-0.147857 |
| |
-0.148034 |
| |
-0.148102 |
| |
-0.148316 |
| |
-0.148340 |
| |
-0.148373 |
| |
-0.148552 |
| |
-0.148725 |
| |
-0.148783 |
| |
-0.148788 |
| |
-0.149058 |
| |
-0.149105 |
| |
-0.149255 |
| |
-0.149294 |
| |
-0.149945 |
| |
-0.150006 |
| |
-0.150077 |
| |
-0.150184 |
| |
-0.150307 |
| |
-0.150356 |
| |
-0.150638 |
| |
-0.150696 |
| |
-0.150710 |
|
|
|
|
|
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.
|