|
|
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 |
| |
-0.196083 |
| |
-0.196140 |
| |
-0.196234 |
| |
-0.196254 |
| |
-0.196294 |
| |
-0.196398 |
| |
-0.196417 |
| |
-0.196651 |
| |
-0.196703 |
| |
-0.196712 |
| |
-0.196774 |
| |
-0.196798 |
| |
-0.196801 |
| |
-0.196932 |
| |
-0.196955 |
| |
-0.196962 |
| |
-0.197173 |
| |
-0.197200 |
| |
-0.197202 |
| |
-0.197248 |
| |
-0.197279 |
| |
-0.197298 |
| |
-0.197332 |
| |
-0.197335 |
| |
-0.197342 |
|
|
|
|
|
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.
|